Topic
Embodied Agents
Reasoning and action grounded in the physical world.
3 papers · latest 2026-04-13
Most active fields for this topic
Nastaran Darabi, Amit Ranjan Trivedi
ProGAL-VLA adds verified grounding and prospective sub-goals to VLA robots, sharply improving instruction sensitivity, ambiguity handling, and robustness under perturbation.
Yunsong Zhou, Hangxu Liu, Xuekun Jiang et al.
SIM1 builds physics-aligned real-to-sim twins for deformable manipulation, letting purely synthetic training reach real-data parity at a fraction of collection cost and making sim-scaled robotics learning much more practical.
Jiajun Zhai, Hao Shi, Shangwei Guo et al.
E-VLA uses event cameras—normally used in robotics—to let robots see and act in near-total darkness or blur, where normal cameras fail. This enables real-world robotic systems to operate reliably in challenging environments like smoke-filled rooms or fast-moving scenes.