3 papers
cs.AI2026
Learning the Task or Learning the Verifier? Rethinking Criteria Exposure in Embodied Self-Improvement
Wenbo Huang, Jianxin Bi, Shunyu Yang +10
Self-improving embodied agents are increasingly being developed and compared on robot simulation benchmarks. Several recent works expose the benchmark's success criteria to the lea…
cs.RO2026
PyRUA-REAL: Robot Exploration and Adaptive Learning through RSI in the Real World
Qiang Wang, Jianxin Bi, Shulong Jiang +7
Coding agents powered by models such as GPT-6-Astra connect spatial reasoning with executable robot behavior, raising the question of how such agents can produce lasting improvemen…
cs.RO2026
ST-VLA: Enabling 4D-Aware Spatiotemporal Understanding for General Robot Manipulation
You Wu, Zixuan Chen, Cunxu Ou +9
Robotic manipulation in open-world environments requires reasoning across semantics, geometry, and long-horizon action dynamics. Existing hierarchical Vision-Language-Action (VLA)…