Javascript must be enabled to continue!
PHYSICALLY COOPERATING AUTONOMOUS GROUND VEHICLES
View through CrossRef
<title>ABSTRACT</title>
<p>Off-road mobility for an individual autonomous ground vehicle (AGV) can be
severely limited by extreme environments (such as muddy patches or steep cliffs
in off-road terrain). However, when operating as a group, cooperation between
the AGVs can be leveraged to overcome such limitations. Traditionally
cooperation has been achieved through information sharing, enabling the AGVs to
“avoid” the extreme environments. In this paper we propose to
achieve such cooperation through physical energy sharing, where the AGVs can
“recover” from these environment scenarios. Specifically, we
propose the use of a robotic manipulator (RM) that connects a disabled or
degraded AGV with an operational AGV. A fleet level controller is proposed. The
AGVs and the RM are modeled in Modelica, and integrated with the controller to
perform simulations. We demonstrate collaborative movement in two scenarios,
namely crossing a muddy patch and climbing a steep cliff. In each scenario the
individual vehicle fails to complete the mission when degraded, however the
cooperative fleet succeeds, while also enabling the degraded AGV to regain
operational status.</p>
<p><bold>Citation:</bold> M. Ashley, D. McMullan, S. Gopalswamy, “Physically
Cooperating Autonomous Ground Vehicles,” In <italic>Proceedings of the
Ground Vehicle Systems Engineering and Technology Symposium</italic>
(GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.</p>
National Defense Industrial Association
Title: PHYSICALLY COOPERATING AUTONOMOUS GROUND VEHICLES
Description:
<title>ABSTRACT</title>
<p>Off-road mobility for an individual autonomous ground vehicle (AGV) can be
severely limited by extreme environments (such as muddy patches or steep cliffs
in off-road terrain).
However, when operating as a group, cooperation between
the AGVs can be leveraged to overcome such limitations.
Traditionally
cooperation has been achieved through information sharing, enabling the AGVs to
“avoid” the extreme environments.
In this paper we propose to
achieve such cooperation through physical energy sharing, where the AGVs can
“recover” from these environment scenarios.
Specifically, we
propose the use of a robotic manipulator (RM) that connects a disabled or
degraded AGV with an operational AGV.
A fleet level controller is proposed.
The
AGVs and the RM are modeled in Modelica, and integrated with the controller to
perform simulations.
We demonstrate collaborative movement in two scenarios,
namely crossing a muddy patch and climbing a steep cliff.
In each scenario the
individual vehicle fails to complete the mission when degraded, however the
cooperative fleet succeeds, while also enabling the degraded AGV to regain
operational status.
</p>
<p><bold>Citation:</bold> M.
Ashley, D.
McMullan, S.
Gopalswamy, “Physically
Cooperating Autonomous Ground Vehicles,” In <italic>Proceedings of the
Ground Vehicle Systems Engineering and Technology Symposium</italic>
(GVSETS), NDIA, Novi, MI, Aug.
15-17, 2023.
</p>.
Related Results
What Will the Law Do About Autonomous Vehicles?
What Will the Law Do About Autonomous Vehicles?
Autonomous vehicles are just beginning to emerge on roads and highways all over the world. The autonomous vehicle prototypes available now provide some clues to understanding how l...
Modeling and Simulation of DoS Attack Response in WSN based IoT
Modeling and Simulation of DoS Attack Response in WSN based IoT
Autonomous vehicles are cars that drive autonomously and safely to their destination. Autonomous vehicles offer driver convenience but can also be used as an attack tool to cause a...
Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis
Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis
Autonomous Vehicles (AVs) with their immaculate sensing and navigating capabilities are expected to revolutionize urban mobility. Despite the expected benefits, this emerging techn...
Ground ice detection and implications for permafrost geomorphology
Ground ice detection and implications for permafrost geomorphology
Most permafrost contains ground ice, often as pore ice or thin veins or lenses of ice. In certain circumstance, larger bodies of ice can form, such as ice wedges, or massive lenses...
The future of autonomous vehicles
The future of autonomous vehicles
The future of the modern world faces the appearance of different ways of mobility. Huge strive in today's world have gained autonomous vehicles. The paper explains how autonomous v...
A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions
A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions
The integration of embedded systems in autonomous vehicles represents a transformative paradigm shift in the automotive industry, offering unprecedented opportunities for enhanced ...
Cooperating Teachers’ Perceptions and Contributions to Preservice Teachers’ Professional Identities
Cooperating Teachers’ Perceptions and Contributions to Preservice Teachers’ Professional Identities
Research on teachers’ socialisation years after they begin teaching in schools has not been extensively undertaken, and there are significant long-term consequences for how these e...
Electric versus conventional vehicles for logistics: A total cost of ownership
Electric versus conventional vehicles for logistics: A total cost of ownership
Today, different measures are investigated to solve the challenge of a sustainable urban freight transport. Among them, electric vehicles are often viewed as an interesting solutio...

