Uploaded May 2018 | Updated September 2026, 2 weeks ago
ICRA 2018 Spotlight Video
Interactive Session Tue AM Pod F.1
Authors: Culbertson, Preston; Schwager, Mac
Title: Decentralized Adaptive Control for Collaborative Manipulation
Abstract:
This paper presents a design for a decentralized adaptive controller that allows a team of agents to manipulate a common payload in {R}^2$ or {R}^3$. The controller requires no communication between agents and requires no textit{a priori} knowledge of agent positions or payload properties. The agents can control the payload to track a reference trajectory in linear and angular velocity with center-of-mass measurements, in angular velocity using only local measurements and a common frame, and can stabilize its rotation with only local measurements. The controller is designed via a Lyapunov-style analysis and has proven stability and convergence. The controller is validated in simulation and experimentally with four robots manipulating an object in the plane.
ICRA 2018 Spotlight Video
Interactive Session Tue AM Pod F.1
Authors: Culbertson, Preston; Schwager, Mac
Title: Decentralized Adaptive Control for Collaborative Manipulation
Abstract:
This paper presents a design for a decentralized adaptive controller that allows a team of agents to manipulate a common payload in {R}^2$ or {R}^3$. The controller requires no communication between agents and requires no textit{a priori} knowledge of agent positions or payload properties. The agents can control the payload to track a reference trajectory in linear and angular velocity with center-of-mass measurements, in angular velocity using only local measurements and a common frame, and can stabilize its rotation with only local measurements. The controller is designed via a Lyapunov-style analysis and has proven stability and convergence. The controller is validated in simulation and experimentally with four robots manipulating an object in the plane.










