IEEE Transactions on Robotics

In this T-RO paper, researchers from UC San Diego and Technical University of Munich present a distributed multi-robot exploration method that enables teams of #robots to actively map environments more efficiently by optimizing exploration trajectories on a Riemannian manifold. https://lnkd.in/ghjwgzxT Paper title: Riemannian Optimization for Active Mapping With Robot Teams Authors: Arash Asgharivaskasi, Fritz Girke, Nikolay Atanasov #RobotKinematics #RiemannianOptimization #SwarmRobotics #RobotSensingSystems

CALL-FOR-PAPERS: Event-based Vision for Robotics special collection has extended the submissions deadline to June 30. Thank you to Sven Behnke, Friedrich Fraundorfer, Guillermo Gallego, Fabio Morbidi, and Pascal Vasseur for handling the collection. https://lnkd.in/gQ8hCCwh #RobotVision #VisionForRobotics

In this T-RO paper, researchers tackle the challenges of mapping dynamic environments, where depth noise, segmentation errors, and object motion complicate perception. Their particle-based instance-aware semantic occupancy map jointly estimates occupancy, semantics, and instance IDs to improve robustness and accuracy. https://lnkd.in/gtDgQ7um Paper title: Particle-Based Instance-Aware Semantic Occupancy Mapping in Dynamic Environments Authors: Gang Chen, Zhaoying Wang, Wei Dong, and Javier Alonso-Mora #RobotSensingSystems #DynamicEnvironment #RobotMapping

In this T-RO paper, researchers from the ArcLab at The University of Hong Kong what introduce FAPP, a fast and adaptive perception and planning framework for UAVs to navigate dynamic and cluttered environments. https://lnkd.in/grFc7mZh Paper title: FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments Authors: Minghao Lu , Xiyu Fan, Han Chen , and Peng Lu #CollisionAvoidance #VehicleDynamics #HeuristicAlgorithms #UnmannedAerialVehicles #AerialSystems #ObstacleAvoidance

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