IEEE Transactions on Robotics

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: Bask?n ?enba?lar and Gaurav Sukhatme #MultiRobot #Navigation

Researchers from ???????(KAIST) introduce a graph-structured super-resolution framework for large-area tomographic #tactilesensing in T-RO. Demonstrated on a #humanoid face, the system enables natural human-robot interaction while adapting to various sensor shapes. https://lnkd.in/gG63WBm7 Paper title: Graph-structured Super-resolution for Geometry-generalized Tomographic Tactile Sensing: Application to Humanoid Faces Authors: Hyunkyu Park, Woojong Kim, Sangha Jeon, Youngjin Na, Jung Kim #HRI #TactileSensor #DeepLearninginRobotics #TomographicReconstruction #NeuralNetwork

A new T-RO paper presents a lightweight active ankle #prosthesis with graceful degradation capabilities, validated through extensive trials with trans-tibial and trans-femoral amputees. The design achieves reduced encumbrance while maintaining safety through passive fallback. #Biomechanics https://lnkd.in/gKrqRzGq Paper title: ELSA: A Foot-Size Powered Prosthesis Reproducing Ankle Dynamics During Various Locomotion Tasks Authors: Fran?ois Heremans, Jeanne Evrard, David Langlois, and Renaud Ronsse #prosthetics #RobotSensingSystems #WearableRobots

Researchers from QUT Centre for Robotics present an energy-efficient place recognition system in T-RO, leveraging Spiking Neural Networks with modularity and sequence matching to rival traditional deep networks. https://lnkd.in/g_mzZdMs Paper title: Applications of Spiking Neural Networks in Visual Place Recognition Authors: Somayeh Hussaini, Michael Milford, and Tobias Fischer #PlaceRecognition #SpikingNeuralNetworks #RobotPerception

A new T-RO paper introduces HARMONIOUS, a real-time control system enabling humanoid robots to play board games while safely interacting with humans through multi-modal sensing (touch, proximity, vision). https://lnkd.in/dJr6Hadb Paper title: HARMONIOUS—Human-Like Reactive Motion Control and Multimodal Perception for Humanoid Robots Authors: Jakub Rozlivek, Alessandro Roncone, Ugo Pattacini, and Matej Hoffmann #HumanRobotInteraction #RoboticManipulation

A new T-RO paper presents a passive bilateral control framework for #RAMIS that handles communication delays while maintaining precise instrument control. The system ensures safety near sensitive structures using remote center of motion constraints. https://lnkd.in/gCzVR_bD Paper title: Passive Bilateral Surgical Teleoperation With RCM and Spatial Constraints in the Presence of Time Delays Authors: Theodora Kastritsi, Theofanis Prapavesis Semetzidis, Zoe Doulgeri #SurgicalRobotics

Researchers from Stanford University, Technische Universit?t Dresden, and Meta have developed a method for miniaturizing vision-based #tactilesensors using fiber optic bundles. In a recent TRO paper, they show that the miniature design can provide clinically relevant data for cancer diagnosis. https://lnkd.in/gt7X_73h Paper title: Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors Authors: Julia D., Zdravko Dugonji?, Will Fu, Tingfan Wu, Romeo Mercado, Kevin Sawyer, Victoria Rose Most, Gregg Kammerer, Stefanie Speidel, Richard Fan, Geoffrey A. Sonn, Mark Cutkosky, Mike Maroje Lambeta, and Roberto Calandra #RobotSensingSystems #OpticalFibers #DeepLearningInRobotics #robotics