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.
Related Resources
2026
Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility ObjectivesPresenting an unsupervised differentiable framework for automatic UV…
2023
BOP-Elites: A Bayesian Optimisation Approach to Quality Diversity Search with Black-Box descriptor functionsAn algorithm that efficiently tackles expensive black-box optimization…
2022
COIL: Constrained Optimization in Workshop on Learned Latent SpaceConstrained optimization problems can be difficult because their…
2021
Classifying Component Function in Product Assemblies With Graph Neural NetworksFunction is defined as the ensemble of tasks that enable the product…
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