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1144 result(s) for “Bioinspired Robot Learning” Page 4 of 23
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Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB
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Towards Designing a Low-Cost Humanoid Robot with Flex Sensors-Based Movement
Muhammad H. Al Omoush, Sameer Kishore, Tracey Mehigan
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Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Kanta Kaneda, Shunya Nagashima, Ryosuke Korekata, Motonari Kambara, Komei Sugiura
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Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning towards Natural and Robust Gaits
Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue
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RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective
Chenxi Wang, Hongjie Fang, Hao-Shu Fang, Cewu Lu
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Probabilistic Inference of Human Capabilities from Passive Observations
Peter Tisnikar, Gerard Canal, Matteo Leonetti
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Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior
XIYANA VEROSKA FIGUERA MICHAL, Soogeun Park, Hyemin Ahn
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Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
Hyeokjin Kwon, Gunmin Lee, Junseo Lee, Songhwai Oh
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Bridging the Sim-To-Real Gap with Bayesian Inference
Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause
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Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke
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Adaptive Curriculum Learning with Successor Features for Imbalanced Compositional Reward Functions
Laszlo Szoke, Shahaf Shperberg, Jarrett Holtz, Alessandro Gabriele Allievi
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On the Modularity of Elementary Dynamic Actions
Moses Nah, Johannes Lachner, Federico Tessari, Neville Hogan
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Context-Aware Conversation Adaptation for Human-Robot Interaction
Zhidong Su, Weihua Sheng
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Preventing Catastrophic Forgetting in Continuous Online Learning for Autonomous Driving
Rui Yang, Zhi Yan, Tao Yang, Tomáï¿1⁄2 Krajník, Yassine Ruichek
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Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena, Sandeep Gorantla, Pushpak Jagtap
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A Cascaded Broad Learning System for Manipulator Motion Control
Guoyu Zuo, Shuaifeng Dong, Jiyong Zhou, Shuangyue Yu
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Offline Meta-Reinforcement Learning with Evolving Gradient Agreement
Jiaxing Chen, Weilin Yuan, Shaofei Chen, furong liu, AO MA, Zhenzhen Hu, Peng Li
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Progressive Representation Learning for Real-Time UAV Tracking
Changhong Fu, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, Jia Pan
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A Contact Model Based on Denoising Diffusion to Learn Variable Impedance Control for Contact-Rich Manipulation
Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
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MARRGM: Learning Framework for Multi-Agent Reinforcement Learning Via Reinforcement Recommendation and Group Modification
Wu, Peiliang,Tian, Liqiang,Zhang, Qian,Mao, BingYi,Chen, Wenbai
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
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Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization
Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
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Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
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A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz
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Adaptive Social Force Window Planner with Reinforcement Learning
Mauro Martini, Noe Perez-Higueras, Andrea Ostuni, Marcello Chiaberge, Fernando Caballero, Luis Merino
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Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
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A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
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Self-Reconfiguration Strategies for Space-Distributed Spacecraft
Tianle Liu, Zhixiang Wang, Yongwei Zhang, Ziwei Wang, Zihao Liu, Yizhai Zhang, Panfeng Huang
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Active Learning for Forward/Inverse Kinematics of Redundantly-Driven Flexible Tensegrity Manipulator
Yuhei Yoshimitsu, Takayuki Osa, Heni Ben Amor, Shuhei Ikemoto
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Reinforcement Learning for Active Search and Grasp in Clutter
Thomas Pitcher, Julian Förster, Jen Jen Chung
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A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
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SNF-Feat: Semantic-Guided Negative-Sample-Free Representation Learning for Local Feature Extraction
Xun Zhou, Qingqing Yan, Minghao Zhu, mengxian hu, Chengju Liu, Qijun Chen
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Continual Domain Randomization
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus Piater, Alois Knoll, Nicolás Navarro-Guerrero
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Hyperbolic Image-And-Pointcloud Contrastive Learning for 3D Classification
Naiwen Hu, Haozhe Cheng, Yifan Xie, Pengcheng Shi, Jihua Zhu
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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CASRL: Collision Avoidance with Spiking Reinforcement Learning among Dynamic, Decision-Making Agents
Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
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Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition
minggang gan, Jinting Liu, Yuxuan He, aobo chen, Qianzhao Ma
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Continual Learning for Autonomous Robots: A Prototype-Based Approach
Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya
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Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke
Pedro Leandro La Rotta, Jingxi Xu, Ava Chen, Lauren Winterbottom, Wenxi Chen, Dawn Nilsen, Joel Stein, Matei Ciocarlie
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SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
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Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
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JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
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Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
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The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
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TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun
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Uncertainty-Aware Deployment of Pre-Trained Language-Conditioned Imitation Learning Policies
Bo Wu, Bruce Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
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