Technology areas
Motion control
Dynamics, trajectory tracking, force and impedance control, model predictive control, legged locomotion, gait, balance, whole-body control, disturbance rejection, and coordinated movement and manipulation. Covers execution on quadrupeds, humanoids, arms, and other robots; a robot demonstration alone does not qualify.
32 selected · 12 in the last 30 days
arXiv cs.RO ·
Movens-Zero: Scaling humanoid motion foundation models with large-scale human videos
The research team proposes Movens-Zero, a scalable understanding-generation-execution architecture that supports real-time closed-loop humanoid motion generation under text, speech, music, and video inputs. Its accompanying dataset, Movens-5M, is built from Internet videos through clip generation, quality filtering, semantic annotation, motion recovery, and physical refinement with humanoid retargeting. It contains 15 million human motion sequences and 5 million physically executable humanoid motion sequences, totaling over 10,000 hours.
arXiv cs.RO ·
∇Mimic: Efficient Whole-Body Control for Humanoid Robots with Differentiable Simulation
The authors propose ∇Mimic, which uses exact gradients from a differentiable simulator to train whole-body motion-tracking policies for humanoid robots, reaching a score of 0.82 in 20 minutes and 0.874 in 1.8 hours on a single GPU, whereas the world-model method takes 1.2 hours to reach 0.82.
arXiv cs.RO ·
X-WBC: A Cross-Embodiment Foundation Model for Humanoid Whole-Body Control
X-WBC is a cross-embodiment humanoid whole-body control foundation framework that separates relatively shared human motion semantics from embodiment-specific physical execution. It uses human-centered command tokens to align full human motion, robot reference motion, and sparse VR observations; a causal Transformer learns reusable temporal structure from mixed multi-robot rollouts, and lightweight robot-specific modules map the shared representation to each robot's proprioception and action space.
深蓝AI · 微信公众号 ·
TU Delft's MonoRace achieves 100 km/h autonomous drone racing using only a single front-facing camera
The MonoRace system from TU Delft's MAVLab in the Netherlands, relying only on a single front-facing camera and an IMU, defeated three world-champion-level pilots in a row at the 2025 Abu Dhabi Autonomous Drone Racing competition; the paper was published in Science Robotics on October 14, 2026.
arXiv cs.RO ·
SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World Model
SuperMimic uses a differentiable world model of shared dynamics to train the world model and the tracking policy together in a single training loop, giving the policy analytic gradients through backpropagation-through-time over short imagined rollouts.
至简动力 · 微信公众号 ·
Zhijian Dynamics Showcases SimpleWAM On-Device Real-Robot Operations and CNC High-Precision Manipulation Research at IROS 2026
At IROS 2026, Zhijian Dynamics debuted a real-robot demonstration of its self-developed world action model SimpleWAM, with the i7 Pro running on-device to complete tasks such as tape sealing and box packing; the i7 Pro and iX demonstrated motion control capabilities together on site.
Singularity Hub ·
KAIST quadruped robot RAIBO2 completes marathon without battery swap, ~40 miles per charge
KAIST's quadruped robot RAIBO2 finished the Persimmon Marathon in Sangju, South Korea, in 4 hours 19 minutes 52 seconds, slightly faster than the human average, without swapping or recharging its battery, and still had 34% charge at the finish; the team described the work in a Nature paper last week.
珞石机器人 ·
ROKAE's 10,000th humanoid force-controlled arm rolls off the line and is delivered
ROKAE's 10,000th humanoid force-controlled arm officially rolled off the line and was delivered on September 29 at its smart manufacturing future factory. The company says it has partnered with more than 80 leading industry partners, and that its force-controlled arms continue to enter real application scenarios. Its humanoid force-controlled product line includes the Xuanji HSA series force-controlled joints with built-in high-precision torque sensors; the Taibai AR series humanoid force-controlled arms, which cover a payload range of 3-20 kg and adopt a humanoid seven-degree-of-freedom and cross-wrist configuration; and the Xuanhe iNex control system, which integrates force control with WBC whole-body motion control.
CMU Robotics Institute ·
CMU and Siemens Partner to Propose PRISM, a Safety-Stop Monitoring Method for Humanoid Robots
CMU and Siemens partnered to develop a method for evaluating the "safe stoppability" of humanoid robots, and used simulation to define the conditions under which a robot can be safely stopped. The result is PRISM (Proactive Refinement of Importance-sampled Stoppability Monitor).
Harbin Institute of Technology Robotics ·
HIT's Li Tianlong team publishes research in Science Advances on magnetically controlled CD5+ dendritic cell microrobot immunotherapy
Li Tianlong's team at Harbin Institute of Technology (HIT) developed an engineered microrobot system based on CD5+ dendritic cells that can achieve precise intravascular navigation through external magnetic field control and activate immune cells in situ; the results were published in Science Advances. Under a conical magnetic field, the system self-assembles into a ribbon-like swarm that migrates downstream; under a rotating magnetic field, it assembles into a chain-like swarm that moves upstream against blood flow; combined with tumor chemotaxis, it achieves targeted enrichment and deep infiltration. In an orthotopic mouse colorectal cancer model, a single injection combined with magnetic navigation reduced the tumor bioluminescence signal by more than 90%. HIT is the first affiliation of the paper.
加速进化 · 微信公众号 ·
Tsinghua's Zhao Mingguo team publishes Science Robotics paper proposing a unified perception-motion reinforcement learning framework for vision-driven humanoid soccer skills
On August 19, Professor Zhao Mingguo's team in Tsinghua University's Department of Automation published the paper "Learning Vision-Driven Reactive Soccer Skills for Humanoid Robots" in Science Robotics, selected for the August 2026 humanoid robotics special issue; the robot platform used was a humanoid robot independently developed by Booster.
PKU EPIC Lab ·
PKU EPIC Lab releases HumanTracker humanoid motion tracking benchmark and HumanScore metric
PKU EPIC Lab proposed the HumanTracker benchmark for evaluating humanoid motion tracking, accepted to ECCV 2026. The benchmark contains approximately 153 hours of optical motion trajectories from multiple professional performers, organized into four motion families with text labels; the accompanying HumanScore metric is trained on 12K motion pairs containing 24K motions, aligns with human preferences, and can reveal contact and stability failures that kinematic metrics often miss, such as foot skating and mistimed landings.
LimX Dynamics ·
LimX Dynamics releases humanoid VLA model V³-0 alongside COSA 0.5
LimX Dynamics released V³-0 alongside COSA 0.5, a humanoid VLA technology stack in its VLA-tools layer that supports mobile whole-body manipulation, running on the 43-DOF LimX humanoid robot Oli.
RoboParty · 微信公众号 ·
RoboParty Lab Established, Open-Sources Three Humanoid Robot Toolchains for Training, Control, and Data
RoboParty announced the establishment of RoboParty Lab and open-sourced three humanoid robot toolchains: the supervised learning training framework MimicLite, the unsupervised reinforcement learning control framework UFO, and the motion retargeting tool hhtools.
Figure AI ·
Figure 03 arrives at BMW Spartanburg plant for sequencing sorting tasks
Figure AI announced that the Figure 03 humanoid robot has entered Hall 52 at BMW Group Plant Spartanburg, shifting from the sheet metal loading and unloading work previously done by Figure 02 to a sequencing sorting use case; Figure 02 took part in assembling 30,000 vehicles last year.
Harbin Institute of Technology Robotics ·
HIT's Zhu Yanhe Team Publishes Paper on Cooperative Reconfiguration for Self-Repair in Modular Robots
Professor Zhu Yanhe's team at Harbin Institute of Technology (HIT) published a paper in the International Journal of Extreme Manufacturing (IJEM), proposing an autonomous fault-tolerant repair strategy for modular robots based on cooperative reconfiguration, which restores joint fault damage by changing morphology without backup module replacement. The method combines topological description and kinematic self-modeling, particle swarm optimization to search for target configurations, and an improved RRT cooperative reconfiguration algorithm. In experiments, the fault-tolerance upper limit was 7 times higher than that of fixed-configuration redundancy methods. HIT is the sole completing institution, and doctoral student Qi Jian is the first author.
OFweek Robotics ·
Galbot releases AstraBrain-WBC 0.5, validating Scaling Law with humanoid motion data
Galbot released AstraBrain-WBC 0.5 (paper titled Humanoid-GPT, accepted to CVPR 2026), training a Transformer whole-body controller on about 2 billion frames of retargeted motion data, achieving a 92.58% zero-shot motion tracking success rate with 0.39 ms inference latency; code and data are open-sourced.
Deep Robotics/云深处科技 ·
DEEP Robotics Lynx S10 prototype completes Arctic Ocean ice-surface and ice-water tests aboard research vessel
DEEP Robotics' small wheeled-legged robot, the Lynx S10 prototype, completed a 76-day, 11,852-nautical-mile Arctic Ocean research test aboard Sun Yat-sen University's Polar Research Vessel Zhongshan, marking the first time a quadruped robot has set foot on Arctic Ocean ice. The unit, weighing under 20 kg including its battery, was fitted with anti-slip bionic feet mimicking polar bear paws in collaboration with Sun Yat-sen University, Westlake University, and Hangzhou Dianzi University, and completed crawling and motion-control tests with crampons; the body uses an IP67 integrated sealed design, and after increasing the surface area of its limbs for paddling, it completed swimming tests in ice water.
PKU EPIC Lab ·
PKU EPIC Lab proposes LIMMT, a data-centric study for humanoid motion tracking, accepted to ICML 2026
PKU EPIC Lab released LIMMT (Less Is More for Motion Tracking), which it describes as the first data-centric study for physics-based simulated humanoid motion tracking. The method defines motion data quality along three dimensions: physics feasibility, diversity, and complexity. Training on less than 3% of AMASS achieves better tracking performance than training on the full dataset, and the team also cleaned web-sourced mocap data. The paper has been accepted to ICML 2026; see arXiv:2606.06953.
Figure AI ·
Figure AI shows two Helix-02 humanoid robots collaborating to tidy a bedroom
Figure AI demonstrated two humanoid robots equipped with Helix-02 collaborating to tidy a bedroom within two minutes, completing tasks such as opening a door, hanging clothes, putting away headphones, closing a book, taking out trash, pushing a chair under a desk, and making a bed together. The two robots run the same learned vision-language-action (VLA) policy, with no shared planner, message passing, or central coordinator; each infers the other's intent from its actions via its own cameras. The company says that to its knowledge this is the first demonstration of multi-humanoid collaborative mobile manipulation completed by a single learned neural network directly from pixels to actions.