EmbodiedSmith: Scaling Embodied Data through Recursive Self-Improvement Flywheel in Simulation

EmbodiedSmith unifies asset, scene, and task generation in a recursive self-improvement loop to scale embodied simulation data, improving generation success and robot policy generalization across diverse embodiments and physics.

Yikai Qin, Yifei Deng, Mingjian Liang, Wenxuan Song and 12 more

Published Oct 6, 2026 · ▲ 7 on Hugging Face

Execution-Aligned Progressive Noise for Consistent Asynchronous Replanning in Generative Robot Policies

Execution-Aligned Progressive Noise structures noise across chunks and time to maintain consistent generative states during asynchronous replanning, achieving up to 96.7% real-robot success.

Di Wu, Ping Liu, Xuhua Chen, He Zheng and 2 more

Published Oct 5, 2026

Conditional Trajectory Peaks: Single-Pass Multimodal Policies over Action Chunks

Conditional Trajectory Peaks predicts multimodal action-chunk candidates in a single pass, achieving 97.25% LIBERO success and 3× faster inference while preserving diverse behaviors.

Di Wu, Rongtian Shen, Ping Liu, Xuhua Chen and 3 more

Published Oct 5, 2026 · ▲ 1 on Hugging Face

InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation

InterMimicGen retargets human motion capture to humanoids and self-evolves tracking data via iterative simulation-verified augmentation to scale dexterous loco-manipulation.

Yucheng Zhang, Sirui Xu, Jinhong Li, Liuyu Bian and 7 more

Published Oct 5, 2026 · ▲ 4 on Hugging Face

RobotUse: Allocating Computation, Context, and Decisions

RobotUse organizes robot computation, context, and decisions around revisable physical actions via visual target selection and persistent playbooks, achieving 45% RoboLab success and real-world learning.

Junhoo Lee, Injun Baek, Seungyeon Kim, Suhyun Jeon and 3 more

Published Oct 4, 2026 · ▲ 14 on Hugging Face · Code ★ 4

World Action Learning via Interaction-Centric Spectral Latent Guidance

WING distills interaction-centric latent actions from egocentric video and uses cross-embodiment spectral low-frequency guidance to transfer them to robot policies, achieving high success rates on LIBERO, RoboTwin, RoboCasa, and real-world tasks.

Zhiming Liu, Yikun Miao, Ying Chen, Hongrui Yin and 6 more

Published Oct 2, 2026 · 0 citations · ▲ 20 on Hugging Face

EyeRobot 2.0: Active Gaze for Precise Manipulation without Wrist Cameras

EyeRobot 2.0 uses active gaze and fixation-relative frames to enable precise bimanual manipulation with only a single stereo camera, outperforming passive stereo by 40% in real-world trials and doubling ego-plus-wrist success under occlusion.

Kush Hari, Justin H. Kerr, Nidhya Shivakumar, Samarth Mahapatra and 6 more

Published Oct 2, 2026 · 0 citations · ▲ 10 on Hugging Face

PointWAM: 3D World Action Modeling for Dexterous Robotic Manipulation

PointWAM forecasts 3D point trajectories of scenes and hands in a shared space-time frame to guide dexterous robot manipulation, improving DexJoCo success by 56.9 points with video pre-training.

Chunghyun Park, Beomjun Kim, Seungcheol Park, 권희승 and 4 more

Published Oct 2, 2026 · 0 citations · ▲ 42 on Hugging Face

InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation

InterEvolve evolves reward programs at test time via an LLM agent and numerical optimizer to compose a humanoid controller's skills for novel loco-manipulation tasks. The approach releases latent controller competence through object-aware forward-backward models, generating novel strategies that tra

Zhuo Lin, Sirui Xu, Liuyu Bian, Yu-Xiong Wang and 1 more

Published Oct 1, 2026 · 0 citations · ▲ 61 on Hugging Face

OpenRUA: Robot-Use Agents Are Zero-Shot Visuomotor Policies

OpenRUA gives off-the-shelf coding agents only ROS 2 terminal access to act as zero-shot visuomotor policies, achieving 99% on CaP-Bench and 87% on LIBERO-PRO without bespoke harnesses or training, and reveals emergent perception and closed-loop control behaviors.

Zhaoyang Chu, Earl T. Barr, Claire Le Goues, Peter W. O’Hearn and 3 more

Published Oct 1, 2026 · 0 citations · ▲ 5 on Hugging Face · Code ★ 3

Magic-W0: A Structured World-Action Foundation Model for Physical Intelligence

Magic-W0 is a structured world-action foundation model that couples 3D geometry, motion, and future semantics with action generation via layer-aligned interaction, achieving top simulated scores and strong real-robot adaptation.

Xuhua Chen, 尹貞漢, Yuan Zhang, Lingfeng Zhang and 14 more

Published Sep 30, 2026 · 0 citations · Code ★ 2

Beyond the Current Scene: Event-Referential Grasping with Active View Selection

BeyondSCe enables zero-shot event-referential grasping via active view selection, achieving 76% and 77% success on visible and occluded targets versus 40% and 55% baselines.

Hyunjoon Lee, Haebeom Jung, Eunsung Cha, Daeun Lee and 3 more

Published Sep 30, 2026 · 0 citations · ▲ 51 on Hugging Face · Code ★ 8

Dream4ACT: A Shared Visual Action Interface for Multi-Embodiment Video-Action Modeling

Dream4ACT introduces action views to unify cross-embodiment joint actions as shared visual representations, enabling joint video-action modeling and 88.98% RoboTwin 2.0 success with training-free multiview recovery.

Xiangyu Zhu, Jin Xu, Yue Guo, Xin Wu and 5 more

Published Sep 30, 2026 · 0 citations · ▲ 8 on Hugging Face

MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation

MotorMind connects general vision-language models to deterministic robot control via mid-level actions and feedback loops, achieving 66.7% zero-shot success on LIBERO-PRO and 95% on real robots without task-specific training or external tools.

Bingxuan Li, Siqi Song, Yizhuo Wu, Jiarui Yao and 2 more

Published Sep 29, 2026 · 0 citations · ▲ 90 on Hugging Face

Agent Priors-guided Policy Learning

Agent Priors-guided Policy Learning embeds structural priors in skill interfaces to enable compositional and out-of-distribution skill generalization.

Puming (Oscar) Jiang, Tao Hu, Haozhe Du, Yibo Li and 3 more

Published Sep 28, 2026 · 0 citations · ▲ 84 on Hugging Face · Code ★ 3

MM-ABC: Towards Generalist Mobile Manipulation via Seeing, Coordinating and Imagining

MM-ABC is a mobile manipulation foundation model combining multi-level vision features, future imagination supervision, and masked joint attention to coordinate arm-base actions, achieving up to 99.1% success across benchmarks and 83% in real-world tasks.

Qiwei Liang, Guangyu Chen, Shaolong Zhu, Zikuan Xiao and 5 more

Published Sep 28, 2026 · 0 citations · ▲ 5 on Hugging Face

Semantics-to-Contact: A Stagewise Framework for Robust Contact-Rich Manipulation

Guanren Qiao, Ruixiang Ouyang, Sheng Xu, Yueci Deng and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Hydra-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor Control

Jinhao Zhang, Zhexuan Zhou, Huizhe Li, Yichen Lai and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

UniRAP: Towards Unified Part-level Physical Affordance Reasoning and Actionable Perception

Linfei Li, Ruining Hu, Lin Zhang, Zhong Wang and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

InfCoiL: Coordinated Planner-Controller Learning for Closed-Loop Physics-Based Human-Object Interaction

Yude Zou, Yifei Yao, Yiwei Hao, Hanqing Wang and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026