Tube Acceleration: Robust Dexterous Throwing Against Release Uncertainty

In robotic throwing, the release phase involves complex dynamic interactions due to object deformation and limited gripper opening speed, often resulting in inaccurate and nonrepeatable throws. While data-driven methods can be employed to compensate for the release uncertainty, the generalizability...

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Vydáno v:IEEE transactions on robotics Ročník 40; s. 2831 - 2849
Hlavní autoři: Liu, Yang, Billard, Aude
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Acceleration
Deformation
Dexterous manipulation
dynamic manipulation
Dynamics
Grippers
manipulation planning
Manipulator dynamics
Performance evaluation
Robot arms
Robots
robust/adaptive control of robotic systems
Robustness
Throwing
Uncertainty
ISSN:1552-3098, 1941-0468
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Shrnutí:In robotic throwing, the release phase involves complex dynamic interactions due to object deformation and limited gripper opening speed, often resulting in inaccurate and nonrepeatable throws. While data-driven methods can be employed to compensate for the release uncertainty, the generalizability of learned models to unseen objects is not guaranteed, and object-specific fine-tuning with new data may be required. This fine-tuning process raises concerns about the scalability of such methods for dexterous throwing, where the robot needs to execute diverse motions for throwing various objects. Instead of case-by-case fine-tuning, we aim at designing throwing motion robust against release uncertainty. We encapsulate all uncertainties resulting from complex contact dynamics in a surrogate model of their resulting effect on gripper opening delay . We introduce the notion of tube acceleration to model the class of constant-acceleration motion in joint space that guarantees a release within the set of valid throwing configurations. We propose a convex relaxation of the primal optimization problem with a tight error bound and evaluate its performance in terms of reliability and efficiency. Results show that the approach offers run-time performance to allow online computation of throws on a 7-DoF robot arm. It achieves a high accuracy and success rate (97% for planar throws) at throwing a variety of complex objects, even when using a simple ballistic model for the object's flying dynamics.
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ISSN:1552-3098
1941-0468
DOI:10.1109/TRO.2024.3386391