Publication | IEEE International Conference on Robotics and Automation 2021
Collective Transport of Unconstrained Objects via Implicit Coordination and Adaptive Compliance
This paper describes a method which enables multiple compliant robotic systems to coordinate on a task without direct communication or knowledge of each other, or the task inertial parameters.
Download publicationAbstract
Collective Transport of Unconstrained Objects via Implicit Coordination and Adaptive Compliance
Nicole E Carey, Justin Werfel
IEEE International Conference on Robotics and Automation 2021
We present a decentralized control algorithm for robots to aid in carrying an unknown load. Coordination occurs solely through sensing of the forces on or movement of the shared load. Robots prevent undesired motion of the load while permitting movement in the task-relevant subspace, and stabilize against unexpected events by a transient decrease in compliance. The algorithm requires no direct communication between agents, and minimal knowledge of the system or task. We demonstrate the approach in simulation using a commercially available compliant robotic platform.
Associated Autodesk Researchers
Related Resources
2024
HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided DesignThis work presents a new Machine Learning architecture to support…
2024
Experiential Views: Towards Human Experience Evaluation of Designed Spaces using Vision-Language ModelsExploratory research on helping designers and architects anticipate…
2023
Safe Self-Supervised Learning of Insertion Skills in the Real World using Tactile and Visual SensingExploring how to safely train robots how to perform industrial…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us