🔥 [ICLR 2026] Benchmark for robotic tabletop manipulation memory-intensive tasks
-
Updated
Jun 30, 2026 - Python
🔥 [ICLR 2026] Benchmark for robotic tabletop manipulation memory-intensive tasks
Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics [PyTorch, SO-101 Robot Arm, ManiSkill3, Sim-to-Real]
[AAMAS 2026] Don’t Blind Your VLA: Aligning Visual Representations for OOD Generalization. https://blind-vla-paper.github.io
A minimal Vision-Language-Action model you can read: frozen CLIP + a tiny head on ManiSkill PickCube. LeRobot integration. Runs on a Mac, no GPU.
PPO reinforcement learning on the Unitree G1 humanoid — learning bipedal balance in MuJoCo and dexterous apple-in-bowl manipulation in ManiSkill 3, with side-by-side training-progression demos.
Reproducible ManiSkill 3 PickCube PPO baseline with 3-seed evaluation, checkpoint analysis, trajectories, demo, and technical report.
Benchmark for adaptation to hidden robot action-interface contracts: 4 ManiSkill tasks, preregistered gates, belief/probe/learned methods, delay-aware control. Same policy, different wiring — can it adapt?
Reproducing PPO on ManiSkill's PushCube task, with reward shaping and curriculum learning experiments.
Reproducible comparisons of open robotics AI models, data pipelines, simulators, and contribution workflows
Fast online planning for tasks with physics simulator in the loop
Behavior Cloning lab for ManiSkill PushCube-v1 with PyTorch.
X-Embodiment Language-Grounded Manipulation Benchmark: measuring language-conditioned policy transfer between a Panda arm and a Unitree G1 humanoid in ManiSkill3
Reproducible ManiSkill PickCube visual imitation-learning workflow for MLP BC and ACT.
Add a description, image, and links to the maniskill topic page so that developers can more easily learn about it.
To associate your repository with the maniskill topic, visit your repo's landing page and select "manage topics."