1DISTRIBUTION A. See first page.
U.S. ARMY COMBAT CAPABILITIES
DEVELOPMENT COMMAND –
GROUND VEHICLE SYSTEMS CENTER
Kevin Mills
Associate Director
Ground Vehicle Robotics
2 April 2019
Industry Days – Ground Vehicle Robotics
DISTRIBUTION A.
Approved for public release;
distribution unlimited.
OPSEC #2103
2DISTRIBUTION A. See first page.
KEY PROGRAMS BUILDING A FOUNDATION FOR MUM-T
Logistic Resupply
P
L
S
Expedient Leader FollowerAutonomous Ground Resupply
Develop and demonstrate an improved and optimized distribution system that integrates new & emerging technologies across the full spectrum of operational and tactical supply movement operations.
FOB
COP
UAS
Unmanned Aerial SupplyDistant Drop-Off
Unmanned Aerial SupplyCOP Drop-Off
Autonomous UGV Security
CommsSatellite
Rapidly delivery and issue 70leader follower enabled PLSs
to Soldiers for a one year Operational TechnicalDemonstration (OTD)
starting 4QFY19.
Small Robotics for Urban/Subterranean
Development of capabilities
to support urban and underground operations such as unmanned complex tunnel investigation, CBRNE missions and reconnaissance.
Robotic Combat Vehicles Future Manned / Unmanned Teaming FormationsCombat Vehicle Robotics
Develop/integrate technologies that enable scalable integration of multi-domain robotic and autonomous system capabilities teamed within Army formations supporting all combat warfighting functions.
3DISTRIBUTION A. See first page.
Autonomy Architecture enables getting hardware into Soldier's hands with incremental software capability improvements over time.
Issue two companies (60 PLS Trucks) with Leader Follower capability to soldiers for 12 month operational evaluation.
4QFY19 3QFY20 3QFY22
Logistic Resupply
Army does not have to re-buy autonomous similar capability for different platforms
Baseline capability will be built on for more complex tactical, weaponized systems
Robotic Combat Vehicles
AGVRAAutonomy Behavior “App Store”
PLS
FMTV M91520+ Other Platforms
Demonstrated
HX-60
Expedient Leader Follower
Combat Vehicle Robotics (CoVeR) program will advance autonomous
behaviors to enable mounted Manned Unmanned Teaming
CAPABILITY TO SOLDIERS SOONER
4DISTRIBUTION A. See first page.
OPEN MODULAR GROUND VEHICLE AUTONOMY
Interoperability Profile (IOP) defines software massaging & hardware interfaces between major subsystems of unmanned ground systems utilizing existing standards
ROS is an open source software framework for robotic development that provides the following features to allow for modular software development:
Autonomy Software Framework (ROS-M)
Autonomous Ground Vehicle Reference Architecture (AGVRA) - Set of guidelines to enable the robotics community to fulfill the Army’s Robotic and Autonomous System (RAS) commonality objectives by establishing an affordable means to deliver advanced capability to the Warfighter by utilizing architectural best practices and standards.
• 3D Simulation• Logging/Analyzing Sensor Data• System visualization, etc.
Modular addition of capabilities by adding nodes to the system
Large number of users actively contributing to ROS
community
Less time spent here means More time to spend here
Ground Vehicle Robotics (GVR) Modular Software Approach (MSA)• Defined modular autonomy software architecture for Army ground autonomous systems• Success of this approach relies on strong government and industry collaboration developing
interface standards at the appropriate level between applications.
Flexible, node based communications
infrastructure
Library of GPR autonomy software (ITAR compliant) provided to industry through software distribution agreement (20+ outside entities have the software)
Enabling competition at the software module level (prevents vendor lock, mitigates talent migration, enables gov’t to capitalize on industry innovation)
Common software framework/architecture to streamline test and evaluation process (Delta test for new capabilities rather than totally new system)
Transition path for future capabilities such as AI / ML enabled autonomy
Key standards for unmanned systems
5DISTRIBUTION A. See first page.
DEVELOPMENT PATH FOR AUTONOMY
Hardware in the Loop System Integration Lab
High Fidelity Simulation
Algorithm Improvement
System Prototyping
Physical Experimentation
Autonomous system development is an interdisciplinary practice underpinned by
continuous virtual and physical testing
Safety Certification
Soldier Feedback
6DISTRIBUTION A. See first page.
AUTONOMOUS SYSTEMS STRATEGIC CAPABILITY
PROGRESSION
2025
2035
Extend the Reachof the Warfighter (2020)
2015
2020
Active Safety Driver Assist Appliqué Kits (2015)
• Fault-Tolerant Architectures• Enable unmanned cargo
delivery• Enhanced Platoon, Squad, and
Soldier situational awareness.
• Autonomy augments the Solider
• Advanced machine learning• Enable manned and unmanned
teaming in both air and ground maneuver through scalable sensors, scalable teaming, Soldier-robot communication, and shared understanding
• Autonomous system operates as team member
Autonomy Augmented Legacy Systems
Fully Integrated Kitted Solutions
Purpose Built Unmanned Platforms
Autonomous Convoy Operations (2020-2025)
Combined ArmsManeuver (2030-2035)
Far T
erm
Cap
ab
ilit
ies
Near T
erm
Cap
ab
ilit
ies
Mid
Term
Cap
ab
ilit
ies
• Remote Lethality• Semi-Autonomous Mobility• Man/Unmanned Teaming
Capability on legacy systems
• Autonomy as a force multiplier
7DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Technology Description• $490M effort to develop a continuum of unmanned ground combat system platforms capable of defeating a
peer competitor maneuver force of equal or lesser size in any operating environment.
ROBOTIC COMBAT VEHICLE
7UNCLASSIFIED / DISTRIBUTION A .#637
8DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Robotic Combat Vehicle
8
Investment StrategyExisting Contracts :
DCS -Technical and Engineering Services Contract: operator interface development,
systems engineering, test and field-service support.
Southwest Research Institute – autonomy integration;
Ricardo Defense – vehicle refurbishment and maintenance support.
Opportunities for Partnership FY19
• OTA: Robotics Enhancement Program – market research and demonstration informing
RCV requirements and technical maturity of systems
Opportunities for Partnership FY20
• OTA: RCV-L – lightly armored unmanned ground vehicle systems capable of
maneuvering with mounted infantry and transportable by rotary wing aircraft.
• OTA: RCV-M – C130-transportable unmanned ground vehicle systems capable of
engaging and defeating some Tier I threats, with advanced sensor packaging to establish
enemy COP for target hand-off.
• OTA: RCV-H – purpose-built, survivable unmanned ground vehicle systems capable of
decisively engaging tier 1 near-peer threats.
UNCLASSIFIED / DISTRIBUTION A .#637
POC:
Keith Briggs, GVR
586.282.4682
9DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Technology DescriptionSoftware ecosystem for military RAS, based on open ROS, which provides a trusted community of
Government and industry software developers with the means to amass, maintain, and utilize a
federated collection of reusable ROS software packages suitable for military applications
Robotic Operating System – Military (ROS-M)
9
Investment StrategyExisting Contracts FY19-20
• Phase IV: Start Oct 2018, End Jan 2020. $3M.
Opportunities for Partnership FY19
• Phase V: Start Date: Jan 2020, End Date: TBD. $1M-$3M – Joint-service implementation of ROS-M
packages to demonstrate performance of missions in the Air, Ground, Sea, and Space domains.
POC:
Mr. Timothy Thomas, GVR
UNCLASSIFIED / DISTRIBUTION A .#637
• Facilitates collaboration by providing a secure environment for sharing military
RAS software based on an open, de facto industry standard
• Increases innovation by enabling organizations to focus resources on developing
new, innovative capabilities on top of existing software
• Improves software reliability & security by enabling multiple developers to find
and fix defects and make improvements to the same software code used in multiple
RAS
• Allows Open, Gov’t-owned, Gov’t-purpose, and Proprietary licensing
• Phase 4 (Current): Beta testing of software registry, website, and development tools.
Partnering with ROS 2 Technical Steering Committee (TSC)* to advance ROS 2
development *ROS 2 TSC is led by Open Robotics, with founders Microsoft, TARDEC, Amazon, Intel, LG, Bosch,
Apex.AI, Arm, Toyota Research Institute, and ROBOTIS
• Partnership opportunities:
• Participate in Beta testing (populate registry & utilize ROS-M packages).
Support development of ROS-M’s priorities for ROS 2
10DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Technology Description
• Autonomous Ground Resupply (AGR) is a 6 year (FY16 start), $157.8M program to develop and
demonstrate an improved ground supply distribution system across multiple levels of strategic and tactical
sustainment operations. The effort will equip existing military ground vehicles with scalable robotic
technology through the integration of modular kits, common interfaces, and a common architecture to
improve inter-node supply movement. Further, the system will modernize and optimize the operations
within the supply nodes to improve accountability and throughput. Additionally, an integrated suite of
physics-based simulation tools, including HIL/SIL systems, will be used to model developing TTPs.
• The objective of AGR is to integrate new and emerging technologies into the Army’s sustainment system
to improve throughput, accountability, and safety and provide the Warfighter with the flexibility needed to
meet future needs. The AGR STO will develop M&S tools to support the design, development, testing,
and evaluation of AGR vehicles in realistic terrain and weather conditions with software delivered in FY17,
FY19, and FY21.
Autonomous Ground Resupply (AGR)
10
POC:
Bernard Theisen, GVCS GVR
586.282.8750
FOB
COP
UAS
Unmanned Aerial SupplyDistant Drop-Off
Unmanned Aerial SupplyCOP Drop-Off
Autonomous UGV Security
CommsSatellite
• Increment I FY16-FY17 – Architecture Development• Research and development of a fault-tolerant architecture for optionally-manned
systems
• Develop standard software libraries for optionally-manned systems
• Technical and operational demonstrations of prototype hardware and software
• Increment II FY18-FY19 – Capability Enhancement & Architecture
Refinement• Addressing hardware, software, and architecture issues identified during testing
• Development and integration of autonomous behaviors to fill capability gaps
• Operational demonstration of enhanced hardware and new software
• Increment III FY20-FY21 – Capability Enhancement & Increased Reliability• Addressing software and reliability issues identified during testing
• Development and integration of autonomous behaviors to fill capability gaps
• Final operational demonstration of enhanced system capabilities
UNCLASSIFIED / DISTRIBUTION A .#637
11DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Autonomous Ground Resupply (AGR)
11
Investment Strategy
Existing Contracts:
• Integrated System Developer - LM FY16-21 $20.4M
• Autonomy Kit – RR FY16-21 $12.9M
• By-wire Kit – Oshkosh FY16-21 $13.0M
• Warfighter Machine Interface – DCS Corp. FY16-21 $42.2M
• Advanced Distributed Modular Acquisition System – ATC FY16-21 $1.5M
• Modeling & Simulation – Quantum Signal FY16-21 $3.7M
• Off-road Planning Behavior – National Robotics Engineering Center FY17-21 $3.7M
• Retrotraverse Behavior – Robotic Research FY18-21 $1.1M
• Leader-Follower Behaviors – Auburn University FY17-21 $1.2M
• Dynamic Obstacle Detection/Obstacle Avoidance – Lockheed Martin FY18-19 $3.3M
• Convoy Assembly Behavior – Neya Systems FY18-19 $2.0M
• Formations Behavior – Southwest Research Institute FY18-19 $2.0M
Opportunities for Partnership FY20-FY21 – NAMC
• Trailer Behaviors
• Intersection Handling Behaviors
• Depot Behaviors
• Rules of the Road Behaviors
• Traffic Sign/Signals Behaviors
• High Vegetation/Heavy Dust Behaviors
• Other Driver Intent Behaviors
All values are estimates and may change.
UNCLASSIFIED / DISTRIBUTION A .#637
12DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Expedient Leader Follower (ExLF)
12
POC:
Scott Heim, GVSC GVR
586.282.4723
Products• Applique kits installed on Palletized Loading System (PLS) platforms:
• By-Wire Kit: Provides electronic control of the base platform and
add advanced driver assist (ADAS) features.
• Autonomy Kit: Provides advanced sensing and software for
robotic capabilities cable of providing the manned driving
functions.
• Warfighter Machine Interface (WMI): Provides situational
awareness and an interface for Soldiers to command and
control (c2) the robotic platforms.
Pay Off• Assured mobility across multiple domains at the time and place of a
commander's choosing
• Operate semi-independently and sustain operations for ample
duration
• Force Multiplier:
• 37% Reduction in Convoy Personnel*
• 59% Increase in Cargo Throughput*
* Based on RAND Autonomous Study
UNCLASSIFIED / DISTRIBUTION A .#637
Technology Description2 year, $74.5M total, ExLF will accelerate delivery of leader follower (LF) capability to Soldiers by building
and issuing 90 LF systems to Soldiers for a 1-year Operational Technical Demonstration (OTD). ExLF
will inform the L/F CPD and transition to a Program of Record.
13DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Expedient Leader Follower (ExLF)
13
All values are estimates and may change.
Investment Strategy
Existing Contracts:
• Integrated System Developer - LM FY18-21 $10.0M
• Autonomy Kit – RR FY18-21 $28.4M
• By-wire Kit – Oshkosh FY18-21 $18.2M
• Warfighter Machine Interface – DCS Corp. FY18-21 $7.2M
• Advanced Distributed Modular Acquisition System – ATC FY18-21 $865K
• COSITE Analysis – CERDEC FY18 $70K
• Cybersecurity – DCS FY18-19 $726K
• Cybersecurity – Army Research Lab SLAD FY18 $100K
• Cybersecurity – Army Research Lab VTC FY18 $100K
UNCLASSIFIED / DISTRIBUTION A .#637
14DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Coalition Assured Autonomous Resupply (CAAR)
14
POC:
Jeff Ratowski, GVSC GVR
586.282.2224
Products• Sequential Demonstrations of the ‘state of the art’ technologies involved in
CAAR Resupply operation from the ship to front line forces.
• Warfighter evaluation and assessment of CAAR concepts and
technologies for the advanced development of robotic resupply coalition
and national tactics, training, and procedures (TTP).
• Expedited transition of technologies from labs to user evaluated systems
between national research and development (R&D) centers and between
coalition partner labs.
Pay Off• Demonstration of advanced CAAR concepts/technologies that enable on
demand access to supplies from front line units.
• Reduced manpower/risk by optimizing force structure decisions related to
resupply logistic missions across the spectrum of the supply line.
• Inform technology readiness of robotic autonomous systems (RAS) as it
relates to their implication on Future Force Organizations/Structures.
UNCLASSIFIED / DISTRIBUTION A .#637
Technology Description3 year, $26.5M total US/UK investment to accelerate, demonstrate and evaluate the [cost/mission] effective
use of autonomous systems for coalition [UK/US] based Coalition Assured Autonomous Resupply (CAAR)
to positively change the future conduct of military logistics.
15DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Coalition Assured Autonomous Resupply (CAAR)
15
All values are estimates and may change.
Investment Strategy
Existing Contracts:
• HX-60 and LMTV Development – Lockheed Martin FY17-19 $6.5M
• HMMWV Development and WMI – DCS Corp. FY17-19 $4.9M
• MUTT – General Dynamics FY19 $0.3M
• Remote Weapon Station – ARDEC FY17-19 $0.75M
UNCLASSIFIED / DISTRIBUTION A .#637
16DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Technology Description
• AGVRA is a set of guidelines to enable the robotics community to fulfill the
Army’s Robotic and Autonomous System (RAS) commonality objectives by
establishing an affordable means to deliver advanced capability to the
Warfighter by utilizing architectural best practices and standards.
• Objectives:
• Broadly increase knowledge and understanding of open standards
and architectures for U.S. Army RAS, enabling effective code reuse,
modularity, expandability, and upgradability.
• Reduce integration burden, leading to accelerated innovation and
access to “best-of-breed” technologies from vendors in niche areas.
Autonomous Ground Vehicle Reference Architecture (AGVRA)
16
Products
• Phase 1: Architecture Framework (current) – Sept 2019
Establish relationships with software engineers & architects through
NAMC, publish AGVRA v1 architecture framework consisting of a UML/SysML
modeling language for development of model views together with associated
policies and examples.
• Phase 2: Common Development Environment (CDE) – Sept 2020
Complete the SysML-based modeling environment, develop CDE which
encompasses a registry, repository, description templates and PM & Engineering guidance documentation.
• Phase 3: Technical Architecture Reference (TAR)– Sept 2021
Develop TAR model comprising of a library of interoperability, component and execution models for future Product Line
Architectures (PLA).
POC:
Mr. Shannon Griffith, GVR
(586) 239 2470
Architecture
Concepts &
Quality
Attributes
Existing
Standards &
Architectures
U.S. Army
RAS
Program
Architectures
UNCLASSIFIED / DISTRIBUTION A .#637
Investment Strategy
Existing Contracts
• Architecture and Open Systems SME Working Group - DCS FY19 $1,200,208.40
• Robotics Research Expertise – MIT Lincoln Labs FY19 $220,000.00
• Robotics Architecture Expertise – NREC FY19 $150,000.00
Opportunities for Partnership
• NAMC OTA – Seeking a core team to
developing, maintaining and
extending AGVRA, create virtual
models/reference architectures
17DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Technology Description• Manned-Unmanned Teaming Platform Enablers (MPE) is a 3-year GVSC funded and
executed technology maturation initiative (TMI), starting in FY20, to reduce risk in three
critical areas for manned-unmanned teaming: remote lethality, unmanned maneuver
and the network.
17
Investment StrategyExisting Contracts FY17-19
• N/A, New Start in FY20
Opportunities for Partnership FY20
• Realistic transportable simulators of Robotic Combat
Vehicle (RCV) control vehicle layout to enable virtual
assessment of Soldier Machine Interface
POC:
Milot Resyli, TARDEC GVR
586.282.5586
UNCLASSIFIED / DISTRIBUTION A .#637
Manned-Unmanned Teaming Platform Enablers
• The program is focused on:
• NDI UAS Integration onto Combat Vehicles
• Integration of small unmanned aerial systems (UAS) onto ground combat
platforms in operationally realistic conditions.
• Mobile Robotic Control Station Simulator to Improve Robotic Control Interfaces
• Representative simulators that can be taken to the Soldier to rapidly
accelerate robotic control station development/feedback loop cycles.
18DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
• Relevant annotated data set for military vehicle mobility
for future AI development.
• Formation control in an undistributed environment with
and without GPS.
• High speed autonomy on complex terrain.
• Coordination and collaboration framework between
unmanned ground and air vehicles.
• Shared map data between ground and air vehicles in
real time.
AUTONOMOUS MOBILITY THRU INTELLIGENT
COLLABORATION (AMIC)
18
Investment StrategyOpportunities for Partnership FY20
Sensor/Data Collection Architecture $2500K
Data Storage and Processing $3000K
Formation Control Algorithm Development $1500K
POC:
Calvin Cheung, TARDEC GVR
586.571.6198
UNCLASSIFIED / DISTRIBUTION A .#637
Technology DescriptionDevelop/integrate Artificial Intelligence and Machine Learning (AI/ML) technologies to increase
autonomy and mobility to perform teamed operations with manned and unmanned air and
ground vehicles in a military relevant environment through data collection on relevant Soldier
training exercises. Products include:
19DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
• MUMT enabled formation will be iteratively challenged against
multiple phases of the MTC / Complex Breach scenario to
measure improved operational effectiveness and system
performance.
• Force multiplier for combat effectiveness with scalable manned-
unmanned teams, Increased lethality, Improved standoff for
Soldiers, Increased situational awareness
Rapidly Accelerate Unmanned Systems to the Warfighter for
Experimentation
• Iteratively experiment with manned / unmanned system with
Warfighters to shape S&T requirements as well as future
CONOPS and DOTmLPF-P
• 2026 Capstone Operational Experiment will meaningfully
demonstrate the necessary autonomous and enabling
technologies for ground and air assets to conduct a Movement
to Contact and Combined Arms Complex Breach.
Combat Vehicle Robotics (CoVeR)
19
POC:
Jillyn Alban, TARDEC GVR
586.571.2139
UNCLASSIFIED / DISTRIBUTION A .#637
Technology Description• $282M effort to develop/integrate technologies that enable autonomous system capabilities
teamed within Army formations
• Support all combat warfighting functions (close combat, reconnaissance, targeting and
acquisition, etc.)
20DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Combat Vehicle Robotics (CoVeR)
20
All values are estimates and may change.
Investment Strategy
Existing Contracts:• CoVeR Surge Support - DCS Corp. $9.8M
• Modeling and simulation enhancements – Quantum Signal - $1.0M
• Unmanned maneuver – Neya Systems - $3.1M
• Soldier-robotic Interface enhancements - Charles River – $0.8M
• Soldier-Robotic Interface enhancements/Automated terrain detection - GS Engineering -
$0.9M
Opportunities for Partnership FY20-FY26
• Evaluating additional NAMC proposals from RPP18-8 2.1 for potential “basket pulls”
• Technology supporting CoVeR focus areas beyond FY20:
• Unmanned maneuver in complex environments
• Unmanned platform control with minimal interventions
• Enhanced Soldier-robotic interface to enable multi asset control across formations
UNCLASSIFIED / DISTRIBUTION A .#637
21DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Robotic Technology Kernel (RTK)
21
POC:
David Conger, TARDEC GVR
586-219-0562
Technology Description• RTK is an autonomy software library that is government owned,
designed, and maintained.
• RTK provides common, robust robotic capabilities across a variety of
platforms.
• RTK operates on ROS, the Robot Operating System
[http://www.ros.org]
Product Overview• Continuous development via DI2E, powered by the Atlassian Suite.
• RTK is released annually as RTK CoRe [Code Release].
• RTK CoRe 2018 [August 2018]
• RTK CoRe 2019 [Target: April 2019]
• Modular code distribution to maintain security.
• Strict use and management of software distribution agreements.
• Distribution on a need-to-know basis.
Pay Off• A common autonomy software environment for technology insertion
from TARDEC partners.
• Reduces cost and delays for autonomy development.
• Avoids “vendor lock” concerns.
• Baseline software for ROS-M, a military-specific implementation of the
ROS framework.
UNCLASSIFIED / DISTRIBUTION A .#637
22DISTRIBUTION A. See first page. The forecast data is for planning purposes, does not represent a pre-solicitation synopsis, does not constitute an invitation
for bid or request for proposal, and is not a commitment by the government to purchase the desired products and services
Robotic Technology Kernel (RTK)
22
All values are estimates and may change.
Investment Strategy
Budget:
• FY19 - $4.7M
• FY20 - $5.6M
Existing Contracts:
• Autonomy Software Development Southwest Research Institute $1.2M [FY19]
• Vehicle Integration DCS Corporation $2M [FY19]
• Multi-Agent Command and Control Spatial Integrated Systems $600K [FY19]
• Vision-Based Perception Framework MIT Lincoln Laboratory $600K [FY19]
• Semantic Perception ARL / General Dynamics $300K [FY19]
Opportunities for Partnership [FY19-FY21]
• Behavior-Based Framework
• Multi-Agent Cooperative Planning / Map Sharing
• Negative Obstacle Detection
• Dynamic Obstacle Detection / Obstacle Avoidance (OD/OA)
• Road Detection
• Multi-Sensor Calibration
• Improved Sensors
• Visual/LIDAR Simultaneous Localization and Mapping (SLAM)
UNCLASSIFIED / DISTRIBUTION A .#637
23DISTRIBUTION A. See first page.
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