Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting
Ekansh Sharma, Christoph Henke, Alex Mitrevski, Paul G. Pl\"oger

TL;DR
This paper introduces ACCIFR, an adaptive compliant control method with failure recovery for mobile manipulators to reliably perform press-fit tasks like stacking milk cartons, improving adaptability and safety.
Contribution
It presents a novel integrated failure recovery mechanism within a demonstration learning-based compliant control framework for press-fit tasks.
Findings
Outperforms baseline in adaptability to environmental variations.
Effectively detects and recovers from collision failures.
Demonstrates robustness in miniature container setup.
Abstract
Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging. Automating this task with a mobile manipulator can reduce worker strain, and also enhance the efficiency and safety of the container loading process. This paper proposes an approach called Adaptive Compliant Control with Integrated Failure Recovery (ACCIFR), which enables a mobile manipulator to reliably perform the press-fit task. We base the approach on a demonstration learning-based compliant control framework, such that we integrate a monitoring and failure recovery mechanism for successful task execution. Concretely, we monitor the execution through distance and force feedback, detect collisions while the robot is performing the press-fit task, and use wrench measurements to classify the direction of…
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
TopicsRobot Manipulation and Learning · Soft Robotics and Applications · Teleoperation and Haptic Systems
