IEEE Transactions on Robotics

In this T-RO paper, researchers ShanghaiTech University explore how the noncontact manipulation of particles using an ultrasonic phased transducer array can enable precise material handling. https://lnkd.in/gcj6P2g4 Paper title: Selective, Robust and Precision Manipulation of Particles in Complex Environments with Ultrasonic Phased Transducer Array and Microscope Authors: Mingyue Wang, Siyuan An, Zhenhuan Sun, Jiaqi Li, Yang Wang , and Song Li #SurfaceAcousticWaves #AcousticManipulation #PhasedArrays

If you are interested in presenting your recent TRO paper at CASE or IROS, make sure to complete the transfer before April 30th! https://lnkd.in/dwbddeGp #IROS2025 #CASE2025 #IEEERAS #Robotics #RobotConferences

In a recent T-RO paper, researchers from University of Toronto Robotics Institute, Samsung Research America (SRA), and STARS Laboratory show how complex manipulation tasks that require both precise reaching and controlled slipping or sliding can benefit from see-through visuotactile sensing. https://lnkd.in/deESrPJu Paper title: Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor Authors: Trevor Ablett , Oliver Limoyo , Adam Sigal, Affan Jilani, Jonathan Kelly, Kaleem Siddiqi, Francois Hogan, and Gregory Dudek #RobotSensingSystems #TactileSensor #ImitationLearning

Researchers from University of Toronto Robotics Institute have developed a novel method for real-time state estimation in systems with multiple coupled #continuumrobots. The approach achieves millimeter-level accuracy with high update rates, and an open-source C++ implementation is available to the community! https://lnkd.in/gNpdh5h7 Paper title: State Estimation for Continuum Multirobot Systems on SE(3) Authors: Sven Lilge, Timothy Barfoot, and Jessica Burgner-Kahrs #RobotSensingSysems #StateEstimation #Kinematics #GaussianProcess #MultirobotSystems

A new T-RO paper from researchers at Technical University of Munich and Czech Technical University in Prague presents an adaptive approach for combining robot precision with human guidance in geometrically-constrained scenarios, featuring online adaptation capabilities. https://lnkd.in/g6YE_eJ8 Paper title: Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control Authors: Erfan Shahriari, Petr Švarný, Seyed Ali Baradaran Birjandi, Matej Hoffmann, and Sami Haddadin #HapticGuidance #HumanRobotCollaboration

Researchers from Institute of Smart Systems and Artificial Intelligence - Nazarbayev University demonstrate that AR-based feedback maintains #teleoperation performance with occluded robots using event-based tactile sensors in T-RO. Their findings advance remote robot control capabilities. https://lnkd.in/gpTmW9aU Paper title: E-BTS: Event-Based Tactile Sensor for Haptic Teleoperation in Augmented Reality Authors: Dinmukhammed Mukashev, Saltanat Seitzhan, Jabrail Chumakov, Soibkhon Khajikhanov, Madina Yergibay, Nurlan Zhaniyar, Rustam Chibar, Ayan Mazhitov, Matteo Rubagotti, and Zhanat Kappassov #AR #Haptics

Researchers from Imperial College London present an affordable ($80) barometric #tactilesensor in T-RO, achieving 0.28mm resolution through machine learning enhancement. Mounted on a robotic gripper, it enables precise object pose estimation. https://lnkd.in/gN8skVRd Paper title: Location and Orientation Super-Resolution Sensing With a Cost-Efficient and Repairable Barometric Tactile Sensor Authors: Jian Hou, Xin Zhou, and Ad Spiers #RoboticGrasping #Sensors

Sadly, T-RO has recently lost a founding father with the passing of George Bekey renowned American roboticist, an original member of IEEE Robotics and Automation Society and founding editor-in-chief of IEEE Transactions on Robotics. https://lnkd.in/gs6uT72g

Are you an author of a T-RO paper that is presenting their work at IEEE International Conference on Robotics and Automation (ICRA) paper? Please make sure to register today before the author registration deadline! https://lnkd.in/gBtxcGCt #ICRA2025 #robotics #ICRAAtlanta

T-RO paper introduces DREAM, a real-time multi-robot navigation framework handling cluttered environments with uncertain communication and obstacle dynamics. The system explicitly accounts for interactive obstacles while maintaining robust performance. https://lnkd.in/gTguEwXz Paper title: DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments Authors: Baskın Şenbaşlar and Gaurav Sukhatme #MultiRobot #Navigation