RACER: Residual-Adaptive Closed-Loop Estimation for Sampling-Based Planning in Wheeled-Quadruped Racing
cs.RO
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/fan-ziqi/robot
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- SLowRL: Safe Low-Rank Adaptation Reinforcement Learning for Locomotion
- Racing a Wheeled Quadruped: Active Load Transfer Mitigation via Model Predictive Control
- Sym2Real: Symbolic Dynamics with Residual Learning for Data-Efficient Adaptive Control
- What is the Effect of Importance Weighting in Deep Learning?
- Gradient Surgery for Multi-Task Learning
- Conflict-Averse Gradient Descent for Multi-task Learning
- LoRA Learns Less and Forgets Less
- Orthogonal Subspace Learning for Language Model Continual Learning
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