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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1642 result(s) for “Integratng planning and learning” Page 5 of 33
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Real-Time Dense 3D Mapping of Underwater Environments
Weihan Wang, Bharat Joshi, Nathaniel Burgdorfer, KONSTANTINOS BATSOS, Alberto Quattrini Li, Philippos Mordohai, Ioannis Rekleitis
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Distributed Data-Driven Predictive Control for Multi-Agent Collaborative Legged Locomotion
Randall Fawcett, Leila Amanzadeh, Jeeseop Kim, Aaron Ames, Kaveh Akbari Hamed
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Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection
Cheng Peng, Minghan Wei, Volkan Isler
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Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments
Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh
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Coaxial Modular Aerial System and the Reconfiguration Applications
José Baca, Syed Izzat Ullah, Pablo Rangel
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Safety-Critical Ergodic Exploration in Cluttered Environments Via Control Barrier Functions
Cameron Lerch, Dayi, E Dong, Ian Abraham
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ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Dmitriy Rivkin, Gregory Dudek, Nikhil Rajiv Kakodkar, David Paul Meger, Oliver Limoyo, Michael Jenkin, Xue Liu, Francois Hogan
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Robotic Manipulation of Sperm As a Deformable Linear Object
Dai, Changsheng,Shan, Guanqiao,Liu, Hang,Ru, Changhai,Sun, Yu
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Nonlinear Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group Integrators for Dynamically Stable Behaviors
Noel Csomay-Shanklin, Victor Dorobantu, Aaron Ames
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Real-Time Solutions to Multimodal Partially Observable Dynamic Games
Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos Theodorou
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Continuous-Time Trajectory Estimation for Differentially Flat Systems
Jacob Johnson, Joshua Mangelson, Randal Beard
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Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies
Chung Hee Kim, George Kantor
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Risk-Aware Fast Trajectory Planner for Uncertain Environments Based on Probabilistic Surrogate Reliability and Risk Contours
Guobiao Wang
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Depth Estimation for Oral Cavity by Shape from Shading with Endoscope
Xi Wu, Gangtie Zheng
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The Human Gaze Helps Robots Run Bravely and Efficiently in Crowds
Qianyi Zhang, Zhengxi Hu, Yinuo Song, Jiayi Pei, Jingtai Liu
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Interacting with Multi-Robot Systems Via Mixed Reality
Florian Kennel-Maushart, Roi Poranne, Stelian Coros
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A Generalized Framework for Concentric Tube Robot Design Using Gradient-Based Optimization
Lin, Jui-Te,Girerd, Cedric,Yan, Jiayao,Hwang, John T.,Morimoto, Tania K.
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Memory-Based Exploration-Value Evaluation Model for Visual Navigation
Yongquan Feng, Liyang Xu, Minglong Li, Ruochun Jin, Da Huang, Shaowu Yang, WENJING YANG
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Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
Haolong Li, Joerg Stueckler
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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Goal-Conditioned Action Space Reduction for Deformable Object Manipulation
Shengyin Wang, Rafael Papallas, Matteo Leonetti, Mehmet R Dogar
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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Risk-Aware Model Predictive Path Integral Control Using Conditional Value-At-Risk
Ji Yin, Zhiyuan Zhang, Panagiotis Tsiotras
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Decentralised Active Perception in Continuous Action Spaces for the Coordinated Escort Problem
Rhett Hull, Ki Myung Brian Lee, Jennifer Wakulicz, Chanyeol Yoo, James McMahon, Bryan Clarke, Stuart David Anstee, Jijoong Kim, Robert Fitch
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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M-EMBER: Tackling Long-Horizon Mobile Manipulation Via Factorized Domain Transfer
Bohan Wu, Roberto Martín-Martín, Li Fei-Fei
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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Search Algorithms for Multi-Agent Teamwise Cooperative Path Finding
Zhongqiang Ren, Chaoran ZHANG, Sivakumar Rathinam, Howie Choset
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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ROSMC: A High-Level Mission Operation Framework for Heterogeneous Robotic Teams
Ryo Sakagami, Sebastian Georg Brunner, Andreas Dömel, Armin Wedler, Freek Stulp
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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
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Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
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External Force Estimation of Legged Robots Via a Factor Graph Framework with a Disturbance Observer
Jeonguk Kang, Hyun-Bin Kim, Keun Ha Choi, Kyung-Soo Kim
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An Architecture for Reactive Mobile Manipulation On-The-Move
Ben Burgess-Limerick, Christopher Lehnert, Jurgen Leitner, Peter Corke
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Kinegami: Algorithmic Design of Compliant Kinematic Chains from Tubular Origami
Chen, Wei-Hsi,Yang, Woohyeok,Peach, Lucien,Koditschek, Daniel,Sung, Cynthia
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Differentiable Collision Detection: A Randomized Smoothing Approach
Louis Montaut, Quentin Le Lidec, Antoine Bambade, Vladimir Petrik, Josef Sivic, Justin Carpentier
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AeriaLPiPS: A Local Planner for Aerial Vehicles with Geometric Collision Checking
Justin Smith, Patricio Vela
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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An Investigation on the Effect of Actuation Pattern on the Power Consumption of Legged Robots for Extraterrestrial Exploration
Yuan Hu, Weizhong Guo, Rongfu Lin
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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