DexBioLab: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories
cs.RO
Submitted: 2026-10-09
Updated: 2026-10-14
Project page: https://autobio-plus.github.io/AutoBioPlus
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
- DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo
- Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
- mjlab: A Lightweight Framework for GPU-Accelerated Robot Learning
- T(R,O) Grasp: Efficient Graph Diffusion of Robot-Object Spatial Transformation for Cross-Embodiment Dexterous Grasping
- Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies