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ICRA 2023

1655 papers · 0 AI summaries · 2023

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823 result(s) for “Model Predictive Control” Page 14 of 17
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A Joint Acceleration Estimation Method Based on a High-Order Disturbance Observer
Jiexin Zhang, Pingyun Nie, Yuhang Chen, Bo Zhang
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Bayesian Inference of Fog Visibility from LiDAR Point Clouds and Correlation with Probabilities of Detection
karl montalban, Christophe Reymann, Dinesh Atchuthan, Paul-Édouard Dupouy, Nicolas Riviere, Simon Lacroix
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A Congestion-Aware Path Planning Method Considering Crowd Spatial-Temporal Anomalies for Long-Term Autonomy of Mobile Robots
Zijian Ge, Jingjing Jiang, Matthew Coombes
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Finding Optimal Modular Robots for Aerial Tasks
Jiawei Xu, David Saldaña
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3-Dimensional Sonic Phase-Invariant Echo Localization
Christopher Hahne
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Optimal Elastic Wing for Flapping-Wing Robots through Passive Morphing
Cristina Ruiz Paez, Jose Angel Acosta, Anibal Ollero
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Experiments in Underwater Feature Tracking with Performance Guarantees Using a Small AUV
Benjamin Biggs, Hans He, James McMahon, Daniel Stilwell
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Fast Region of Interest Proposals on Maritime UAVs
Benjamin Kiefer, Andreas Zell
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Stereo Plane R-CNN: Accurate Scene Geometry Reconstruction Using Planar Segments and Camera-Agnostic Representation
Jan Wietrzykowski, Dominik Belter
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WOLF: A Modular Estimation Framework for Robotics Based on Factor Graphs
Joan Solà , Joan Vallvé, Joaquim Casals, Jeremie Deray, Mederic Fourmy, Dinesh Atchuthan, Andreu Corominas-Murtra, Juan Andrade-Cetto
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Topological Trajectory Prediction with Homotopy Classes
Jennifer Wakulicz, Ki Myung Brian Lee, Teresa A. Vidal-Calleja, Robert Fitch
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Continuous-Time Trajectory Estimation for Differentially Flat Systems
Jacob Johnson, Joshua Mangelson, Randal Beard
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Planning with Occluded Traffic Agents Using Bi-Level Variational Occlusion Models
Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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KGNet: Knowledge-Guided Networks for Category-Level 6D Object Pose and Size Estimation
Qiwei Meng, Jason Gu, Shiqiang Zhu, Jianfeng Liao, Tianlei Jin, Fangtai Guo, Wen Wang, Wei Song
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CMG-Net: An End-To-End Contact-Based Multi-Finger Dexterous Grasping Network
Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu ZHANG, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang
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Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Hyemin Ahn, Esteve Valls Mascaro, Dongheui Lee
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Energy-Based Models for Cross-Modal Localization Using Convolutional Transformers
Alan Wu, Michael S. Ryoo
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Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications
Omey Mohan Manyar, Zachary McNulty, Stefanos Nikolaidis, Satyandra K. Gupta
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Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
Yunzhi Lin, Thomas Müller, Jonathan Tremblay, Bowen Wen, Stephen Tyree, Alex Evans, Patricio Vela, Stan Birchfield
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A Stiffness-Changeable Soft Finger Based on Chain Mail Jamming
Zhengtao Hu, Abdullah Ahmed, Weiwei Wan, Tetsuyou Watanabe, Kensuke Harada
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Anomaly Detection Based Robust Autonomous Navigation
Kefan Jin, Mu Fun, Xingyao Han, Guangming Wang, Zhe Liu
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Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning
Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang
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Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
Takeru Oba, Norimichi UKITA
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EWareNet: Emotion Aware Pedestrian Intent Prediction and Adaptive Spatial Profile Fusion for Social Robot Navigation
Venkatraman Narayanan, Bala Murali Manoghar Sai Sudhakar, Rama Prashanth Ramasamy Vijayakumar, Aniket Bera
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Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang
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Nerf2nerf: Pairwise Registration of Neural Radiance Fields
Leili Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi
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Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
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Distributionally Safe Path Planning: Wasserstein Safe RRT
Paul Lathrop, Beth Boardman, Sonia Martinez
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Online Consistent Video Depth with Gaussian Mixture Representation
Chao Liu, Benjamin Eckart, Jan Kautz
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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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Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-Based Occupancy Mapping
Duong, Thai,Yip, Michael C.,Atanasov, Nikolay
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Reconstructing Objects In-The-Wild for Realistic Sensor Simulation
Ze Yang, Siva Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
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Balancing Efficiency and Unpredictability in Multi-Robot Patrolling: A MARL-Based Approach
Lingxiao Guo, Haoxuan Pan, Xiaoming Duan, Jianping He
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A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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Active Metric-Semantic Mapping by Multiple Aerial Robots
Xu Liu, Ankit Prabhu, Fernando Cladera Ojeda, Ian Miller, Lifeng Zhou, Camillo Jose Taylor, Vijay Kumar
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EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic
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CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection
Jiasheng Xu, Tianyi Zhang, Yangqian Wu, jie yang, Guang-Zhong Yang, Yun Gu
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Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space
Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner
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Robot Explanatory Narratives of Collaborative and Adaptive Experiences
Alberto Olivares-Alarcos, Antonio Andriella, Sergi Foix, Guillem AlenyÃ
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Slice Transformer and Self-Supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, michael wise, Ajmal Mian
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Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
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Trajectory Generation with Dynamic Programming for End-Effector Sway Damping of Forestry Machine
Iman Jebellat, Inna Sharf
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Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task
Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi
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Trajectory and Sway Prediction towards Fall Prevention
Weizhuo Wang, Michael Raitor, Steven H. Collins, Karen Liu, Monroe Kennedy
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Improving Video Super-Resolution with Long-Term Self-Exemplars
Guotao Meng, Yue Wu, Qifeng Chen
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GIDP: Learning a Good Initialization and Inducing Descriptor Post-Enhancing for Large-Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Jun He, Hongyan Liu
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Multi-Robot 3D Gas Distribution Mapping: Coordination, Information Sharing and Environmental Knowledge
Chiara Ercolani, Shashank Mahendra Deshmukh, Thomas Laurent Peeters, Alcherio Martinoli
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Adaptive Sampling-Based Particle Filter for Visual-Inertial Gimbal in the Wild
Xueyang KANG, Ariel Herrera, Henry Lema, Esteban Valencia, Patrick Vandewalle
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