
IEEE Transactions on Robotics (T-RO)
@IeeeTro
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Reporting major advances in the state-of-the-art in all areas of robotics.
Joined December 2022
A new T-RO paper presents an adaptive approach for combining robot precision with human guidance in geometrically-constrained scenarios, featuring online adaptation capabilities. #HapticGuidance #HumanRobotCollaboration
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Researchers from @imperialcollege present an affordable ($80) barometric #tactilesensor, achieving 0.28mm resolution through machine learning enhancement. Mounted on a robotic gripper, it enables precise object pose estimation. #RoboticGrasping #Sensors
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Are you an author of a T-RO paper that is presenting their work at @ieee_ras_icra paper? Please make sure to register today before the author registration deadline!. #ICRA2025 #robotics #ICRAAtlanta.
2025.ieee-icra.org
Join us at ICRA 2025 in Atlanta, USA! As one of the premier conferences in robotics and automation, ICRA attracts industry professionals & students worldwide.
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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. #MultiRobot #Navigation
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Researchers at @KAIST_me introduce a graph-structured super-resolution framework for large-area tomographic #tactilesensing. On a #humanoid face, the system enables natural human-robot interaction while adapting to various sensor shapes. #HRI.
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A lightweight active ankle #prosthesis with graceful degradation capabilities, validated through extensive trials with trans-tibial and trans-femoral amputees, achieving reduced encumbrance while maintaining safety through passive fallback. #Biomechanics.
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Researchers from @QUTRobotics present an energy-efficient place recognition system leveraging Spiking Neural Networks with modularity and sequence matching to rival traditional deep networks . #PlaceRecognition #SpikingNeuralNetworks #RobotPerception
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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). #HumanRobotInteraction #RoboticManipulation.
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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 .#SurgicalRobotics
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Researchers from @Stanford, @tudresden_de and @Meta have developed a method for miniaturizing vision-based #tactilesensors using fiber optic bundles. They show that the miniature design can provide clinically relevant data for cancer diagnosis.#robotics
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A recent T-RO paper presents a Variable Stiffness elbow #prosthesis that caters to diverse user needs and varying residual limb morphologies. #VariableStiffnessActuators #ElbowProsthetics #prosthetics #softrobotics.@AntonioBicchi
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Researchers from @Cambridge_Uni develop a robot for human-robot piano collaboration, using real-time music accompaniment and non-verbal cues for seamless synchronization in a new T-RO paper 🎹🤖 .#AI #HumanRobotInteraction #MusicRobotics #PianoPlayingRobot
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Utilizing innovative miniature sensorized forceps, a recent T-RO paper introduces a novel method to control multiple forces and automate tissue traction. #SurgicalRobots #AutomaticTissueTraction #RobotSensingSystems #MinimallyInvasiveSurgery @UNSW
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This T-RO paper uses a Lagrangian Inspired Polynomial kernel to perform #GaussianProcess (GP) regression for the identification of the #InverseDynamics of robotic manipulators. 🤖. #KineticEnergy #PotentialEnergy @RomeresDiego
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Researchers from @UofT perform extensive elastic #StabilityAnalysis of tendon driven continuum robots showing the existence of multiple robot configurations with different shapes, achievable with the same actuation inputs. #ContinuumRobots #Kinematics
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T-RO is excited to announce the newest members to our editorial board, including: @ShoaibEhsan8, @KasraKhosoussi, Jongwoo Kim, @JiachenLi8, Xiang Li, Wei Pan, @MatteoSaveriano, Chaoyang Song, and Christos Verginis.
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Researchers from @ASUEngineering develop a new algorithm for human robot interaction that relies upon efficiently solving complex partial differential equations using a novel hybrid learning approach. #NeuralNetworks #HumanRobotInteraction #robots
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