Learned simulators that predict future observations, so a policy can plan or train inside imagination instead of on hardware.
242 papers here · 7.55% of cs.RO last month
Policies that consume pixels and language and emit robot actions directly, usually fine-tuned from a VLM backbone.
269 papers here · 11.92% of cs.RO last month
Multi-fingered hands, in-hand reorientation, and contact-rich control of everyday objects.
378 papers here · 2.23% of cs.RO last month
Whole-body control, legged locomotion, and loco-manipulation on human-form robots.
320 papers here · 5.92% of cs.RO last month
Turning first-person human video and wearable capture into robot training signal, bypassing teleoperation.
295 papers here · 4.55% of cs.RO last month
Touch as a first-class modality: skins, current sensing, and contact-rich feedback loops.
262 papers here · 6.69% of cs.RO last month
Simulators, domain randomisation, and the evaluation harnesses that decide whether a policy really works.
317 papers here · 6% of cs.RO last month
Behaviour cloning at scale, and the generative-model action heads that made it work.
257 papers here · 6.26% of cs.RO last month
Online and offline RL, model-predictive control, and the safety filters wrapped around them.
507 papers here · 15.35% of cs.RO last month