Robot and Overhead Crane Collaboration Scheme to Enhance Payload Manipulation
Antonio Rosales, Alaa Abderrahim, Markku Suomalainen, Mikael Haag, Tapio Heikkil\"a

TL;DR
This paper introduces a collaborative scheme where a robot and an overhead crane work together to manipulate payloads more accurately and safely, using admittance control to ensure smooth interaction and precise positioning.
Contribution
The paper proposes a novel robot-crane collaboration scheme utilizing admittance control for improved payload manipulation, validated through simulations and experiments.
Findings
Effective payload guidance with smooth robot-crane interaction.
Enhanced safety and accuracy in payload positioning.
Validated scheme through simulations and real experiments.
Abstract
This paper presents a scheme to enhance payload manipulation using a robot collaborating with an overhead crane. In the current industrial practice, when the crane's payload has to be accurately manipulated and located in a desired position, the task becomes laborious and risky since the operators have to guide the fine motions of the payload by hand. In the proposed collaborative scheme, the crane lifts the payload while the robot's end-effector guides it toward the desired position. The only link between the robot and the crane is the interaction force produced during the guiding of the payload. Two admittance transfer functions are considered to accomplish harmless and smooth contact with the payload. The first is used in a position-based admittance control integrated with the robot. The second one adds compliance to the crane by processing the interaction force through the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDynamics and Control of Mechanical Systems · Teleoperation and Haptic Systems · Robot Manipulation and Learning
