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GEGLU-Transformer Enables IMU-to-EMG Signal Estimation
Researchers propose a GEGLU-Transformer-based adaptive learning framework that reconstructs continuo...
Semantic Relationship-Enhanced Graph Matching Improves SLAM Localization Robustness
A new study proposes a semantic-enhanced graph matching method that explicitly models semantic relat...
ANCHOR Framework: Making Home Service Robots More Robust
A research team has proposed the ANCHOR framework, which addresses the inconsistency between symboli...
ProDrive: A New Paradigm for Proactive Planning in Autonomous Driving
A research team has proposed the ProDrive framework, which achieves proactive planning through a wor...
New Learning-Based Framework for Modeling and Control of Tendon-Driven Continuum Robots
A latest arXiv paper proposes a differentiable learning framework that combines high-fidelity dynami...
Open-Source Tool SlicerRoboTMS: Making Robot-Assisted Transcranial Magnetic Stimulation More Accessible
A research team has released SlicerRoboTMS, an open-source 3D Slicer extension designed to lower the...
Tactile and Proximity Sensors Power New Collision Avoidance Research for Humanoid Robots
A new study proposes a reinforcement learning framework based on egocentric tactile and proximity se...
asRoBallet: Reinforcement Learning Successfully Drives Humanoid Ball-Balancing Robot for the First Time
A research team has proposed the asRoBallet framework, which for the first time successfully deploys...
DiscreteRTC: Discrete Diffusion Policies Are Natural Asynchronous Executors
A new study proposes the DiscreteRTC framework, combining discrete diffusion policies with real-time...
Libra-VLA: Dual-System Architecture Solves Hierarchical Challenges in Robot Manipulation
A research team proposes the Libra-VLA framework, which addresses the problem of single-generation p...
New Breakthrough in Ground-Air Cooperative Path Planning: Tackling Uncertain Environments
A new study proposes a dynamic UGV-UAV cooperative path planning method that leverages drones to ass...
HANDFUL: Teaching Dexterous Hands to 'Budget Their Fingers' for Sequential Manipulation
Researchers propose the HANDFUL framework, enabling dexterous robotic hands to develop 'resource awa...