Technology areas
Grasping and manipulation
Grasping, dexterous hand manipulation, dual-arm coordination, assembly, contact-rich manipulation, deformable objects, tool use, and mobile manipulation. The focus is changing an object's state or completing a manipulation task. Hand mechanisms and joint hardware belong under Robot hardware and key components.
96 selected · 47 in the last 30 days
机器之心 · 微信公众号 ·
Harvard, Berkeley, NVIDIA and others propose RAX, using online exploration scaling to let robots learn skills with zero demonstrations
A research team from Harvard, NVIDIA, Berkeley, MIT and Stanford proposes RAX (Robot Agent eXploration), which connects a general coding agent to robot perception and control interfaces, uses online exploration to write successful decisions into executable programs and accumulate them as reusable skills, while keeping model parameters frozen.
HuggingFace Daily Papers ·
RynnVLA-Latent: Scaling robotic manipulation foundation models with 3D latent actions
The research team proposes the RynnVLA-Latent framework, which uses RynnLAM to learn continuous, 3D-grounded latent actions from visual changes without requiring native robot control signals. The method processes 30.1K hours of human, robot, and simulation video, generating 745.52M latent action descriptors, then uses flow matching to predict latent action chunks and adapt them to specific embodiments.
云深处科技 · 微信公众号 ·
DEEP Robotics unveils five embodied brain results: world model DR-WM-1.0, VLA model DR-VLA-2.0, and more
DEEP Robotics has released five research results centered on its self-developed embodied brain, DEEPRobotics-Brain, including the world model DR-WM-1.0, the embodied foundation model DR-VLA-2.0, the embodied agent DR-Agent, the policy optimization framework DR-APO, and the data closed-loop platform DR-Benchmark. The company is also collaborating with seven universities, including MIT, Tsinghua, and Zhejiang University.
珞石机器人 ·
ROKAE Zhuxing H wheeled humanoid robots enter Schaeffler Taicang embodied intelligence digital factory production line
On October 20, Schaeffler's Taicang embodied intelligence robot digital factory opened, with 5 ROKAE Zhuxing H series wheeled humanoid robots participating in the intelligent assembly line for tasks including bin handling, parts sorting, press-fitting and screw assembly, functional testing, marking and packaging, producing joint module components including actuators for next-generation humanoid robots.
Kinetix AI · YouTube ·
KAI Halo case study EgoWild2Dex: training bimanual dexterous manipulation with first-person data
The KAI Halo case study EgoWild2Dex shows how high-quality bimanual dexterous manipulation capabilities can be derived from highly challenging egocentric data. The project page is https://mmlab.hk/egowild2dex.
Agile Robots/思灵机器人 ·
Agile Robots and Audi pilot mobile humanoid robot parts sorting at Ingolstadt plant
Agile Robots, Audi, Dassault Systèmes and NVIDIA announced a proof-of-concept collaboration at NVIDIA GTC Berlin to use mobile humanoid robots for parts picking and sequencing at Audi's Ingolstadt plant for final vehicle assembly.
arXiv cs.RO ·
Activation injection study dissects vision-language-action models
Researchers propose an interpretability pipeline to analyze what a fine-tuned vision-language-action (VLA) policy is computing internally. On pi0.5, injecting task A's activations into the action expert while the policy views task B's scene caused 99.6% of episodes (n=1968) to execute task A's motor trajectory, indicating the injected program is bound to absolute workspace coordinates and ignores the visible scene.
arXiv cs.RO ·
Evaluating a Frozen Frontier VLM Directly as a Robot Policy on the RoboMME Memory-Dependent Manipulation Benchmark
The study uses a frozen frontier vision-language model, GPT-6-Astra, directly as the robot policy and tests it on RoboMME, a benchmark of 16 memory-dependent manipulation tasks. The model keeps the entire episode context throughout and directly outputs each end-effector waypoint and gripper command, with no training specific to this benchmark.
中国机器人网 · 微信公众号 ·
Google-owned Intrinsic open-sources robot foundation software platform Intrinsic Core
At ROSCon 2026 in Toronto, Canada, Intrinsic announced that it is open-sourcing the core components of its industrial robotics platform under the Apache 2.0 license and launching Intrinsic Core, a ROS-compatible foundation software platform.
Xbotics具身智能实验室 · 微信公众号 ·
Shanghai AI Lab evaluates GPT-6-Astra's capability boundaries as a robot policy on EBench
Shanghai AI Laboratory's embodied evaluation team used EBench to evaluate GPT-6-Astra as a robot policy directly, without task-specific post-training, across 26 tasks and 510 total executions. Its average task success rate of 46.7% ranked third, and its average task score of 0.654 ranked second; OpenWAM-α led with a 55.3% success rate.
CMU Robotics Institute ·
CMU research team develops human-inspired multisensory fingertips for DeltaHands robotic hand
CMU researchers designed human-hand-inspired fingertips that can be mounted on the DeltaHands flexible robotic hand. They combine strain gauges to measure pinch pressure with a microphone that captures micro-vibrations through a plastic fingernail, enabling the hand to count paper cups, identify materials, and grasp fragile items such as tofu cubes and potato chips. Each fingertip costs less than 100 US dollars, compared with about 800 US dollars to build a similar setup from off-the-shelf products. The work was presented at the 2026 Intelligent Robots and Systems Conference in Pittsburgh.
Sanctuary AI ·
Sanctuary AI releases TIGER method to accelerate robot reinforcement learning with imitation policies as dense rewards
Sanctuary AI proposes TIGER (Task-Space Imitation Guidance for Efficient Reinforcement Learning), which does not execute the imitation policy but instead maps its action chunks through the controller into end-effector reference trajectories, converting them into dense rewards for reinforcement learning.
Boston Dynamics ·
Boston Dynamics unveils dexterous hand for next-gen Atlas robot: 13-DOF four-finger design
Boston Dynamics has unveiled a dexterous hand for its next-generation Atlas humanoid robot, increasing from GR2's 7 degrees of freedom to 13, using a four-finger design with a 4-DOF opposable thumb, direct drive, and only a single actuator type. The design drops the pinky finger to reduce cost and complexity, is equipped with fingertip and palm pressure tactile sensors, supports pinch grasping, three-finger grasping, and pressing tool triggers, and was optimized for high-fidelity simulation for sim-to-real transfer and reinforcement learning, with preliminary sim-to-real results on dynamic tasks already available.
至简动力 · 微信公众号 ·
Simplexity Robotics releases and open-sources world-action model SimpleWAM, with 6B model achieving on-device inference as low as 42.31ms
Simplexity Robotics has launched and open-sourced the world-action model SimpleWAM; the 6B-parameter version reduces inference latency on NVIDIA ThorX (T5000) from 181.23ms to 42.31ms, enabling high-frequency closed-loop operation on-device at nearly 24Hz.
MagicLab/魔法原子 ·
MagicLab analyzes Magic-Brain's in-context visual guidance design; magicVLA grasp success rate rises from 70% to 94.4%
MagicLab introduces the visual guidance approach in the Magic-Brain framework: a VLM Agent outputs a bbox, and a segmentation model refines it into a three-color mask overlaid on the observation image, converting semantic guidance into visual guidance.
Figure AI ·
Figure AI releases Helix 2.5, achieving zero-shot full-body autonomy in 30 unfamiliar homes
Figure AI released Helix 2.5, which completed three long-horizon full-body behaviors—tidying a living room, folding towels, and making a bed—zero-shot in 30 Bay Area homes where no data had ever been collected, without collecting data or fine-tuning in the evaluation environments.
PKU EPIC Lab ·
PKU EPIC Lab proposes UniPart for zero-shot language-driven 3D part segmentation
PKU EPIC Lab proposes UniPart, a feed-forward cross-modal 3D Transformer conditioned on CLIP text embeddings that uses free-text phrases to select functional parts on point clouds, achieving zero-shot language-driven 3D part segmentation.
PKU EPIC Lab ·
FoldNet++: A Large-Scale Synthetic Dataset for Robotic T-Shirt Folding and Unfolding
PKU EPIC Lab has released FoldNet++, a large-scale synthetic dataset for robotic T-shirt folding and unfolding, covering 6 robotic embodiments, 1K T-shirts, 1K environmental assets, and 120K richly annotated demonstrations.
MIT CSAIL ·
MIT CSAIL and others launch InstructMesh tool to repair AI-generated 3D models and manufacture them on demand
MIT CSAIL, together with Google and Northeastern researchers, launched InstructMesh, which combines TRELLIS with GPT-4 to let users repair AI-generated 3D models using natural language before 3D printing them.
PKU EPIC Lab ·
GIF: An agentic generation framework for interactive and functional object compositions for robot learning
PKU EPIC Lab proposes GIF, an agentic generation framework for robot learning that reframes the problem as disentangled reconstruction followed by relative pose recovery. CoGen combines 2D and 3D generative models to produce instance-disentangled meshes and coarse initial poses; GPRM refines the relative poses under joint geometric and physical guidance; and a VLM verifier selects the candidate that best matches the structured specification.