A modular benchmark of 100 dexterous manipulation tasks across 3 arms and 6 hands with 3,180 demonstrations reveals that current policies (Diffusion Policy, DP3, OpenVLA, π0.5) achieve only 34% mean success, exposing unsolved challenges in contact-rich and precise manipulation.
Trends and challenges in robot manipulation
2 Pith papers cite this work, alongside 943 external citations. Polarity classification is still indexing.
fields
cs.RO 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.
citing papers explorer
-
DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
A modular benchmark of 100 dexterous manipulation tasks across 3 arms and 6 hands with 3,180 demonstrations reveals that current policies (Diffusion Policy, DP3, OpenVLA, π0.5) achieve only 34% mean success, exposing unsolved challenges in contact-rich and precise manipulation.
-
MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation
MM-Hand presents a modular 21-DOF dexterous hand with remote tendon actuation, integrated multimodal sensing, and open-source hardware that achieves 25 N fingertip force over 1 m transmission distance.