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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2315 result(s) for “Integrated Planning and Learning” Page 9 of 47
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Gathering Data from Risky Situations with Pareto-Optimal Trajectories
Brennan Brodt, Alyssa Pierson
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Skeleton Disk-Graph Roadmap: A Sparse Deterministic Roadmap for Safe 2D Navigation and Exploration
Thibault Noël, Antoine Lehuger Lehuger, Eric Marchand, Francois Chaumette
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Adaptive Passive Biped Dynamic Walking on Unknown Uneven Terrain
Lishen Pu, Yixuan Liu, Zheng Aiqun, Bofeng Qi, Chunquan Xu
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TerrainSense: Vision-Driven Mapless Navigation for Unstructured Off-Road Environments
Bilal Hassan, Arjun Sharma, Nadya Abdel Madjid, Majid Khonji, Jorge Dias
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GPS-VIO Fusion with Online Rotational Calibration
Junlin Song, Pedro J Sanchez-Cuevas, Antoine Richard, Raj Thilak Rajan, Miguel A. Olivares-Mendez
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Robotic Contact Juggling
James Woodruff, Kevin Lynch
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Active Collision-Based Navigation for Wheeled Robots
Jingjing Li, Jialin Ji, Qianhao Wang, Huan Yu, Yu Pan, Fei Gao
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Non-Axiomatic Reasoning for an Autonomous Mobile Robot
Patrick Hammer, Peter Isaev, Lei Feng, Robert Johansson, Jana Tumova
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The Fractal Hand--I: A Non-Anthropomorphic, but Synergistic, Adaptable Gripper
Joel Burdick, Malcolm Tisdale
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Nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping
Alexander Millane, Helen Oleynikova, Emilie Wirbel, Remo Steiner, Vikram Ramasamy, David Tingdahl, Roland Siegwart
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Efficient Polynomial Sum-Of-Squares Programming for Planar Robotic Arms
Daniel Keren, Amit Shahar, Roi Poranne
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RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
Zhijun Pan, Fangqiang Ding, Hantao Zhong, Chris Xiaoxuan Lu
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Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces
Servet Bora Bayraktar, Andreas Orthey, Zachary Kingston, Marc Toussaint, Lydia Kavraki
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Self-Reconfigurable Robots for Collaborative Discrete Lattice Assembly
Miana Smith, Amira Abdel-Rahman, Neil Gershenfeld
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Aerobatic Trajectory Generation for a VTOL Fixed-Wing Aircraft Using Differential Flatness
Ezra Tal, Gilhyun Ryou, Sertac Karaman
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RETOM: Leveraging Maneuverability for Reactive Tool Manipulation Using Wrench-Fields
Felix Eberle, Riddhiman Laha, Haowen Yao, Abdeldjallil Naceri, Luis Figueredo, Sami Haddadin
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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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Multi-Agent Path Finding for Cooperative Autonomous Driving
Zhongxia Yan, Han Zheng, Cathy Wu
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Communicating Intent As Behaviour Trees for Decentralised Multi-Robot Coordination
Rhett Hull, Diluka Prasanjith Moratuwage, Emily Scheide, Robert Fitch, Graeme Best
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Sampling-Based Reactive Synthesis for Nondeterministic Hybrid Systems
Qi Heng Ho, Zachary Sunberg, Morteza Lahijanian
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Shadow-Based 3D Pose Estimation of Intraocular Instrument Using Only 2D Images
Junjie Yang, Zhihao Zhao, Mathias Maier, Kai Huang, Nassir Navab, M. Ali Nasseri
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Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory
Martin Bensch, Tim-David Job, Tim-Lukas Habich, Thomas Seel, Moritz Schappler
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CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
Dmitriy Rivkin, Nikhil Rajiv Kakodkar, Francois Hogan, Bobak Hamed Baghi, Gregory Dudek
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Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent
Thomas Manzini, Robin Murphy
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Robotic Craniomaxillofacial Osteotomy System Using Acoustic 3D Registration
Jiayu Zhu, Runzhe Han, Mengning Yuan, Bimeng Jie, Shanshan Du, Yang He, Runshi Zhang, Junchen Wang
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GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation
Nicolai Steinke, Daniel Goehring, Raul Rojas
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A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus
Aalok Patwardhan, Andrew J Davison
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Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel Kochenderfer
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Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
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Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations Via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor
Shaohang Xu, Haolin Ruan, Wentao Zhang, Yi'an Wang, Lijun Zhu, Chin Pang Ho
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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SofToss: Learning to Throw Objects with a Soft Robot
Diego Bianchi, Michele Gabrio Ernesto Antonelli, Cecilia Laschi, Angelo Maria Sabatini, Egidio Falotico
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Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
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Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz
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Walking-By-Logic: Signal Temporal Logic-Guided Model Predictive Control for Bipedal Locomotion Resilient to External Perturbations
Zhaoyuan Gu, Rongming Guo, William Yates, Yipu Chen, Yuntian Zhao, Ye Zhao
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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Toward AI-Enabled Commercial Telepresence Robots to Combine Home Care Needs and Affordability
Gloria Beraldo, Riccardo De Benedictis, Amedeo Cesta, Francesca Fracasso, Gabriella Cortellessa
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Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport
Sriram N N, Dinesh Jayaraman, Manmohan Chandraker
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Distributed Multi-Robot Online Sampling with Budget Constraints
Azin Shamshirgaran, Sandeep Manjanna, Stefano Carpin
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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A Time-Optimal Energy Planner for Safe Human-Robot Collaboration
Andrea Pupa, Marco Minelli, Cristian Secchi
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Optimization Based Dynamic Skateboarding of Quadrupedal Robot
Zhe Xu, Mohamed Al-Khulaqui, hanxin ma, Jiajun Wang, Quanbin Xin, Yangwei You, mingliang zhou, Diyun Xiang, Shiwu Zhang
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Unconstrained Model Predictive Control for Robot Navigation under Uncertainty
Senthil Hariharan Arul, Jong Jin Park, Vishnu Prem, Yang Zhang, Dinesh Manocha
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Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
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Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation
Ruoyu Wang, Zixuan Guo, Yizhou Chen, Xinyi Wang, Ben M. Chen
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DORF: A Dynamic Object Removal Framework for Robust Static LiDAR Mapping in Urban Environments
Zhiming Chen, Kun Zhang, Hua Chen, Michael Yu Wang, Wei Zhang, Hongyu Yu
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Vision-Based Water Clearance Determination in Maritime Environment
Carl Schiller, Deran Maas, Bruno Arsenali, Jukka Peltola, Kalevi Tervo, Stefano Maranò
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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