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Only Research#Guides and practice
Oct 26Mon
  1. arXiv cs.RO38

    Yonghyeon Lee releases v1 of compiled lecture notes "Optimization, Optimal Control, and Reinforcement Learning for Robotics"

    The v1 lecture notes "Optimization, Optimal Control, and Reinforcement Learning for Robotics," compiled and edited by Yonghyeon Lee, have been released on arXiv, emphasizing the mathematical connections and practical applications among the three. The notes were written through human-AI collaboration and are a compilation of existing material rather than new research results; they are currently a preliminary version with no figures or graphs, and revisions and expansion are planned.

Oct 22Thu
  2. arXiv cs.RO65

    ExtremControl: 50ms humanoid robot teleoperation with scaled velocity feedforward

    ExtremControl proposes a low-latency whole-body control framework for humanoid robots that reduces end-to-end teleoperation latency from about 200ms to as low as 50ms. Its core is adding scaled velocity feedforward in low-level control, which cuts tracking delay by about 70ms, and operating directly on the SE(3) poses of selected rigid links to avoid joint-space retargeting; the paper also derives a closed-form Cartesian-space mapping that needs only a single anthropomorphic calibration to adapt to operators of different body proportions.

  4. arXiv cs.RO44

    Actuator-Constraint-Aware Master-Slave Control Method for Teleoperation of Manipulators with Coupled Transmissions

    An actuator-constraint-aware master-slave teleoperation method that jointly models master-side gravity compensation, master-slave joint mapping, and slave-side differential wrist control, addressing the problem that independent motor saturation in differential wrists disrupts pitch-roll coordination and that fixed mappings struggle with abrupt tracking changes caused by gravitational loads and actuator constraints.

  5. arXiv cs.RO45

    Adjustable Reach Mapping in Humanoid Robot Teleoperation: Coupled Visual-Motor Remapping of Panoramic Azimuth Warping and Upper-Limb Yaw Transformation

    This study proposes a coupled visual-motor remapping method that pairs panoramic azimuth warping with its inverse upper-limb yaw transformation for first-person teleoperation of humanoid robots, to extend the operator's reach to side and rear targets. The prototype implements two mapping modes: Global Zoom (GZ) and Focus+Context (F+C).

Oct 21Wed
  1. arXiv cs.RO57

    Flow Control: Steering VLA Actions in Real Time with Generic Inputs Such as a Keyboard

    The paper proposes a flow control method for VLA models that steers robot actions in real time through generic inputs such as a keyboard, without retraining or fine-tuning the VLA. The method writes user input into the initial condition of the VLA's flow matching action expert; because the flow is deterministic, the generated actions both reflect user intent and stay close to the VLA's own unsteered actions.

Oct 19Mon
  1. arXiv cs.RO57

    Hardware-as-Regularization: Improving Imitation Learning Data Consistency with an Adjustable Passive Compliant Leader Arm

    An arXiv paper proposes the Hardware-as-Regularization method, which uses a low-cost passive joint module (an adjustable mechanical clutch plus a 3D-printed spiral spring) to pull each joint toward a user-defined neutral posture, so that the passive restoring force acts as a physical prior for joint-space L2 regularization.

  2. arXiv cs.RO57

    Research on Pedicel-Targeted Strawberry Harvesting via Imitation Learning on a Low-Cost Teleoperated Robotic Arm

    This work proposes a visuomotor imitation learning pipeline for pedicel-targeted strawberry harvesting that unifies perception, motion planning, and contact manipulation: data is collected from human teleoperation demonstrations, an Action Chunking with Transformers (ACT) policy with a ResNet-50 visual backbone is trained, and the policy is deployed autonomously on a Jetson AGX Orin edge platform at 15 Hz.

Sep 30Wed
  1. 至简动力 · 微信公众号64

    Zhijian Dynamics at IROS 2026 Tech Talk: Robotic Manipulation in Real CNC Lathe Loading and Unloading

    At the IROS 2026 Tech Talk, Zhijian Dynamics presented its precision manipulation work for robot loading and unloading of CNC lathes, where the clearance between the workpiece and the chuck is only 0.5 millimeters; the approach covers motion generation, multi-view perception, historical memory, and contact feedback.

Sep 28Mon
  1. RLCN强化学习研究 · 微信公众号36

    Roundtable | RLChina Paper Seminar Episode 170 Live Preview (2026.09.30)

    Episode 170 of the RLChina Paper Seminar will be streamed live on September 30, 2026, from 14:00 to 14:30. Ma Shaojin, a master's student at Tianjin University, will present the paper "One Act, Many Masks: Effect-Marginal Policy Optimization for Long-Horizon Agents," with Guo Wei, a doctoral student at Tianjin University, moderating.

Sep 23Wed
  1. 帕西尼 · 微信公众号46

    PaXini PX6AX tactile sensor supports Shenzhen University RoboLab team in solving cross-operator generalization challenge in touch sensing

    A team led by Assistant Professor Zhang Shuyang at Shenzhen University's College of Mechatronics and Control Engineering used the PaXini PX6AX multi-dimensional tactile sensor as its validation platform to address cross-operator generalization in tactile material recognition, proposing the lightweight tactile model Lite-TacFormer, which improves cross-operator generalization through a few-shot calibration mechanism and features an extremely small parameter count, minimal sample dependence, and a very low computing threshold. Built around the self-developed FUSE tactile sensing chip, the PX6AX maintains millinewton-level accuracy and microsecond-level response after tens of millions of force measurements, and its integrated sensing-computing-transmission design shortens experiment cycles.

Sep 7Mon
  1. TUM MIRMI46

    TUM MIRMI uses Embodied Laboratory Intelligence to collaboratively explore the internal mechanisms of cancer cells

    The Cell and BioRobotics Group (CBoRG lab) at the Technical University of Munich (TUM) Munich Institute of Robotics and Machine Intelligence (TUM MIRMI) proposes "Embodied Laboratory Intelligence," in which robotic assistants and virtual agents work together to explore the internal mechanisms of cancer cells.

Sep 2Wed
  1. RLCN强化学习研究 · 微信公众号72

    Seven questions on DreamerV3: general reinforcement learning with fixed hyperparameters via a world model

    The RLChina "Seven Questions" column examines DreamerV3, a general reinforcement learning algorithm proposed by Google DeepMind and the University of Toronto. Based on a world model, the algorithm first trains an actor-critic on imagined trajectories, and with a single set of fixed hyperparameters it matches or exceeds domain-specific algorithms across 8 major categories and more than 150 tasks.

May 8Fri
  1. 石麻笔记 · 微信公众号74

    Interview with Jianlan Luo: How LWD Enables Robots to Keep Learning After Deployment

    This article is an interview with Dr. Jianlan Luo about his new work LWD (Learning While Deploying), which enables general-purpose robot policies to continuously perform online reinforcement learning from their own experience during real-world deployment. LWD combines offline RL pretraining with online RL fine-tuning to unify offline and online optimization objectives; the value function is trained separately with a VLM and uses both positive and negative samples (roughly over 60% positive and over 30% negative), and deployment data flows back into the training pipeline in about 40 seconds on average.