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cs.RO2026
VLAMotor: Test-Guided Enhancement of Vision-Language-Action Models via Agent-BasedData Synthesis
Zeqin Liao, Peifan Ren, Zixu Gao +6
Vision-Language-Action (VLA) models follow a data-driven paradigm and are constrained by the coverage of training data, making them prone to failure on edge-case configurations aft…
cs.RO2026
BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning
Xiaoyu Ma, Lianyu Hu, Wenbing Tang +4
Embodied task planning requires agents to execute long-horizon, goal-directed actions in complex 3D environments, where success depends on both immediate perception and accumulated…