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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2266 result(s) for “Path Planning for Multiple Mobile Robots or Agents” Page 5 of 46
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Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
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An Open and Flexible Robot Perception Framework for Mobile Manipulation Tasks
Patrick Mania, Simon Stelter, Gayane Kazhoyan, Michael Beetz
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Synchronized Dual-Arm Rearrangement Via Cooperative MTSP
Wenhao Li, Shishun Zhang, Sisi Dai, Hui Huang, Ruizhen Hu, Xiaohong Chen, Kai Xu
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ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals
Jeremy Collins, Cody Houff, You Liang Tan, Charles C. Kemp
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Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments
Sleiman Safaoui, Tyler Summers
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Mobile Robot Oriented Large-Scale Indoor Dataset for Dynamic Scene Understanding
Yifan Tang, Cong Tai, Fang-xing Chen, Wanting Zhang, Tao Zhang, Xueping Liu, Yong-Jin Liu, Long Zeng
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Expert Composer Policy: Scalable Skill Repertoire for Quadruped Robots
Guilherme Henrique Galelli Christmann, Ying-Sheng Luo, Wei-Chao Chen
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Asymptotically-Optimal Multi-Robot Visibility-Based Pursuit-Evasion
Nicholas Stiffler, Jason O'Kane
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Dynamic Mobile Manipulation Via Whole-Body Bilateral Teleoperation of a Wheeled Humanoid
Amartya Purushottam, Christopher Xu, Yeongtae Jung, Joao Ramos
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MARC: Multipolicy and Risk-Aware Contingency Planning for Autonomous Driving
Tong Li, Lu Zhang, Sikang Liu, Shaojie Shen
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Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation
Jiaming Wang, Harold Soh
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A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus
Aalok Patwardhan, Andrew J Davison
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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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Tactile Embeddings for Multi-Task Learning
Yiyue Luo, Murphy Wonsick, Jessica Hodgins, Brian Okorn
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Efficient Terrain Map Using Planar Regions for Footstep Planning on Humanoid Robots
Bhavyansh Mishra, Duncan Calvert, Sylvain Bertrand, Jerry Pratt, Hakki Erhan Sevil, Robert J. Griffin
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Safe Table Tennis Swing Stroke with Low-Cost Hardware
Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu TIAN, Guangjian Tian, Xingyue Quan, Jianye Hao
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A Simple Computationally Efficient Path ILC for Industrial Robotic Manipulators
Michael Schwegel, Andreas Kugi
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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Enhancing Dexterity in Robotic Manipulation Via Hierarchical Contact Exploration
Xianyi Cheng, Sarvesh Patil, Zeynep Temel, Oliver Kroemer, Matthew T. Mason
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Language to Map: Topological Map Generation from Natural Language Path Instructions
Hideki Deguchi, Kazuki Shibata, Shun Taguchi
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Goal-Conditioned Reinforcement Learning with Disentanglement-Based Reachability Planning
Zhifeng Qian, YOU MINGYU, Zhou Hongjun, Xuanhui Xu, Bin He
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Safety-Critical Control of Quadrupedal Robots with Rolling Arms for Autonomous Inspection of Complex Environments
Jaemin Lee, Jeeseop Kim, Wyatt Ubellacker, Tamas G. Molnar, Aaron Ames
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On the Performance of Jerk-Constrained Time-Optimal Trajectory Planning for Industrial Manipulators
Jee-eun Lee, Andrew Bylard, Zhouwen Sun, Luis Sentis
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CausalAgents: A Robustness Benchmark for Motion Forecasting
Liting Sun, Rebecca Roelofs, Ben Caine, Khaled Refaat, Benjamin Sapp, Scott Ettinger, Wei Chai
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Benchmarking Multi-Robot Coordination in Realistic, Unstructured Human-Shared Environments
Lukas Heuer, Luigi Palmieri, Anna Mannucci, Sven Koenig, Martin Magnusson
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History-Aware Planning for Risk-Free Autonomous Navigation on Unknown Uneven Terrain
Yinchuan Wang, Nianfei Du, Yongsen Qin, Xiang Zhang, Rui Song, Chaoqun Wang
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling
Nathan Ludlow, Yiwei Lyu, John M. Dolan
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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MASK4Former: Mask Transformer for 4D Panoptic Segmentation
Kadir Yilmaz, Jonas Schult, Alexey Nekrasov, Bastian Leibe
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Electroosmotic Self-Propelled Microswimmer with Magnetic Steering
Toshiro Yamanaka, Fumihito Arai
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Think, Act and Ask: Open-World Interactive Personalized Robot Navigation
Yinpei Dai, Run Peng, Sikai Li, Joyce Chai
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Safe-By-Design Digital Twins for Human-Robot Interaction: A Use Case for Humanoid Service Robots
Jon �kerlj, Mazin Hamad, Jean Elsner, Abdeldjallil Naceri, Sami Haddadin
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Reciprocal and Non-Reciprocal Swarmalators with Programmable Locomotion and Formations for Robot Swarms
Steven Ceron, Wei Xiao, Daniela Rus
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Low-To-High Resolution Path Planner for Robotic Gas Distribution Mapping
Rohit Vishwajit Nanavati, Callum Rhodes, Matthew Coombes, Cunjia Liu
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DyHGDAT: Dynamic Hypergraph Dual Attention Network for Multi-Agent Trajectory Prediction
Weilong Lin, Xinhua Zeng, Jing TENG, Pang Chengxin, Jing Liu
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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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Risk-Predictive Planning for Off-Road Autonomy
Lukas Lao Beyer, Gilhyun Ryou, Patrick Spieler, Sertac Karaman
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Real-Time Batched Distance Computation for Time-Optimal Safe Path Tracking
Shohei Fujii, Quang-Cuong Pham
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UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Samuel Triest, David D. Fan, Sebastian Scherer, Ali-akbar Agha-mohammadi
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AutoFusion: Autonomous Visual Geolocation and Online Dense Reconstruction for UAV Cluster
Yizhu Zhang, Shuhui Bu, Yifei Dong, Zhang Yu, Kun Li, Lin Chen
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Phasic Diversity Optimization for Population-Based Reinforcement Learning
Jingcheng Jiang, Haiyin Piao, Yu Fu, Yihang Hao, Chuanlu Jiang, Ziqi Wei, Xin Yang
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Bridging Zero-Shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill
Wenzhe Cai, Siyuan Huang, Guangran Cheng, Yuxing Long, Peng Gao, Changyin Sun, Hao Dong
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Efficient ISO/TS 15066 Compliance through Model Predictive Control
Andrea Pupa, Cristian Secchi
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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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SIMMF: Semantics-Aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving
Vidyaa Krishnan Nivash, Ahmed H. Qureshi
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Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera
Ryota Takamido, Jun Ota
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The Virtues of Laziness: Multi-Query Kinodynamic Motion Planning with Lazy Methods
Anuj Pasricha, Alessandro Roncone
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AHPPEBot: Autonomous Robot for Tomato Harvesting Based on Phenotyping and Pose Estimation
Xingxu Li, Nan Ma, Yiheng Han, Shun Yang, Siyi Zheng
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