Thermal Recovery of Multi-Limbed Robots with Electric Actuators
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Abstract (arXiv)
The problem of finding thermally minimizing configurations of a humanoid robot to recover its actuators from unsafe thermal states is addressed. A first-order, data-driven, effort-based, thermal model of the robot's actuators is devised, which is used to predict future thermal states. Given this predictive capability, a map between configurations and future temperatures is formulated to find what configurations, subject to valid contact constraints, can be taken now to minimize future thermal states. Effectively, this approach is a realization of a contact-constrained thermal inverse-kinematics (IK) process. Experimental validation of the proposed approach is performed on the NASA Valkyrie robot hardware.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Feb 2019.
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2 papers.
- 2025Deep Generative and Discriminative Digital Twin endowed with Variational Autoencoder for Unsupervised Predictive Thermal Condition Monitoring of Physical Robots in Industry 6.0 and Society 6.016 Sep 2025
- 2025Deep Learning for Model-Free Prediction of Thermal States of Robot Joint Motors16 Sep 2025