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ICRA 2024

2337 papers · 0 AI summaries · 2024

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684 result(s) for “Manipulation Planning” Page 5 of 14
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Graph-Based Scenario-Adaptive Lane-Changing Trajectory Planning for Autonomous Driving
Qing Dong, Zhanhong Yan, Kimihiko Nakano, Xuewu Ji, Yahui Liu
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Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang, Jianping He, Xiaoming Duan
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Bag of Views: An Appearance-Based Approach to Next-Best-View Planning for 3D Reconstruction
Sara Hatami Gazani, Matthew Tucsok, Iraj mantegh, Homayoun Najjaran
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Efficient Clothoid Tree-Based Local Path Planning for Self-Driving Robots
Minhyeong Lee, Dongjun Lee
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Robustified Time-optimal Collision-free Motion Planning for Autonomous Mobile Robots under Disturbance Conditions
Shuhao Zhang, Mathias Bos, Bastiaan Vandewal, Wilm Decré, Joris Gillis, Jan Swevers
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Partial Belief Space Planning for Scaling Stochastic Dynamic Games
Kamran Vakil, Mela Coffey, Alyssa Pierson
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Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search
Fan Zeng, Shouhei Shirafuji, Changxiang Fan, Masahiro Nishio, Jun Ota
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Efficient RRT*-Based Safety-Constrained Motion Planning for Continuum Robots in Dynamic Environments
Peiyu Luo, Shilong Yao, Yiyao Yue, Hong Yan, Jiankun Wang, Max Q.-H. Meng
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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Scalable Multi-Robot Motion Planning for Congested Environments with Topological Guidance
Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy Amato
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Hypergraph-Based Multi-Robot Task and Motion Planning
James Motes, Tan Chen, Timothy Bretl, Marco Morales, Nancy Amato
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Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments
Yasmin Veys, Martina Stadler, Nicholas Roy
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FC-Planner: A Skeleton-Guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes
Chen Feng, Haojia Li, Xinyi Chen, Boyu Zhou, Shaojie Shen
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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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CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin, Antonello Ceravola, Pavel Smirnov, Felix Ocker, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Stephan Hasler, Daniel Tanneberg, Michael Gienger
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Safe POMDP Online Planning Via Shielding
Shili Sheng, David Parker, Lu Feng
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Optimal Prescribed-Time Control Based Reactive Planning System for Quadruped Robot Navigation
Shaohang Xu, Wentao Zhang, Chin Pang Ho, Lijun Zhu
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Real-Time Planning under Uncertainty for AUVs Using Virtual Maps
Ivana Collado-Gonzalez, John McConnell, Jinkun Wang, Paul Szenher, Brendan Englot
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The Price of a Safe Flight: Risk Cost Based Path Planning
Aliaksei Pilko, Andy Oakey, Mario Ferraro, James Scanlan
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Quasi-static Path Planning for Continuum Robots by Sampling on Implicit Manifold
Yifan Wang, Yue Chen
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Traffic Flow Learning Enhanced Large-Scale Multi-Robot Cooperative Path Planning Under Uncertainties
Xingyao Han, Siyuan Chen, Xinye Xiong, Qiming Liu, Shunbo Zhou, Heng Zhang, Zhe Liu
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FLTRNN: Faithful Long-Horizon Task Planning for Robotics with Large Language Models
Jiatao Zhang, lanling Tang, Yufan Song, Qiwei Meng, Haofu Qian, Jun Shao, Wei Song, Shiqiang Zhu, Jason Gu
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RBI-RRT*: Efficient Sampling-Based Path Planning for High-Dimensional State Space
Fang Chen, Yu Zheng, Zheng Wang, Wanchao Chi, Sicong LIU
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Integrated Data-Driven Inference and Planning-Based Human Motion Prediction for Safe Human-Robot Interaction
Youngim Nam, Cheolhyeon Kwon
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Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty
Carlos Quintero-Peña, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, Lydia Kavraki
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Practical and Safe Navigation Function Based Motion Planning of UAVs
Himani Sinhmar, Marcus Greiff, Stefano Di Cairano
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AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation
Haojia Li, Haokun Wang, Chen Feng, Fei Gao, Boyu Zhou, Shaojie Shen
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F3DMP: Foresighted 3D Motion Planning of Mobile Robots in Wild Environments
Andong Yang, Wei Li, Yu Hu
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Optimal Planning for Timed Partial Order Specifications
Kandai Watanabe, Georgios Fainekos, Bardh Hoxha, Morteza Lahijanian, HIDEKI OKAMOTO, Sriram Sankaranarayanan
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Active Inference for Reactive Temporal Logic Motion Planning
Ziyang Chen, Zhangli Zhou, Lin Li, Zhen Kan
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Mitigating Causal Confusion in Vector-Based Behavior Cloning for Safer Autonomous Planning
Jiayu Guo, Mingyue Feng, Pengfei Zhu, Jinsheng Dou, Di Feng, Chengjun LI, Ru Wan, Jian Pu
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Constrained Bimanual Planning with Analytic Inverse Kinematics
Thomas Cohn, Seiji Shaw, Max Simchowitz, Russ Tedrake
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Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments
Sleiman Safaoui, Tyler Summers
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WiTHy A*: Winding-Constrained Motion Planning for Tethered Robot Using Hybrid A*
Vishnu S. Chipade, Rahul Kumar, Sze Zheng Yong
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A GP-Based Robust Motion Planning Framework for Agile Autonomous Robot Navigation and Recovery in Unknown Environments
Nicholas Mohammad, Jacob Higgins, Nicola Bezzo
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Leveraging Opportunism in Sample-Based Motion Planning
Michael Lanighan, Oscar Youngquist
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Co-Learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong, Daniel Lawson, Joe Kurian Eappen, Ahmed H. Qureshi, Suresh Jagannathan
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Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries
Jacob Johnson, Ahmed H. Qureshi, Michael C. Yip
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When Prolog Meets Generative Models: A New Approach for Managing Knowledge and Planning in Robotic Applications
Enrico Saccon, Ahmet Tikna, Davide De Martini, Edoardo Lamon, Luigi Palopoli, Marco Roveri
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Decentralized Multi-Agent Trajectory Planning in Dynamic Environments with Spatiotemporal Occupancy Grid Maps
Siyuan Wu, Gang Chen, Moji Shi, Javier Alonso-Mora
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MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments
Vivek Gupta, Prabhpreet Dhir, Jeegn Dani, Ahmed H. Qureshi
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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Super-Resolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning
José Ignacio Delgado-Centeno, Paula Harder, Valentin Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Mendez
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HAPFI: History-Aware Planning Based on Fused Information
Suyeon Shin, Sujin Jeon, Byoung-Tak Zhang
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Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha Srinivasa, Byron Boots
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Planning of Explanations for Robot Navigation
Amar Halilovic, Senka Krivic
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Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes
Kalvik Jakkala, Srinivas Akella
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Conflict-Based Model Predictive Control for Scalable Multi-Robot Motion Planning
Amirardalan Tajbakhsh, Lorenz Biegler, Aaron M. Johnson
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PLASTR: Planning for Autonomous Sampling-Based Trowelling
Mads Alber Kuhlmann-Jørgensen, Johannes Pankert, Lukasz Leszek Pietrasik, Marco Hutter
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Safe Receding Horizon Motion Planning with Infinitesimal Update Interval
Inkyu Jang, Sunwoo Hwang, Jeonghyun Byun, H. Jin Kim
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