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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1632 result(s) for “shape sensing of flexible/continuum surgical robots” Page 29 of 33
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Model-Agnostic Multi-Agent Perception Framework
Runsheng Xu, Weizhe Chen, Hao Xiang, Xin Xia, Lantao Liu, Jiaqi Ma
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RGB-Event Fusion for Moving Object Detection in Autonomous Driving
Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Cédric Demonceaux, Dominique Ginhac
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Deep Unsupervised Visual Odometry Via Bundle Adjusted Pose Graph Optimization
Guoyu Lu
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Energy-Based Models for Cross-Modal Localization Using Convolutional Transformers
Alan Wu, Michael S. Ryoo
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Learning Stable Vector Fields on Lie Groups
Julen Urain De Jesus, Davide Tateo, Jan Peters
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Safe Model-Based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks
Wenliang Liu, Mirai Duintjer Tebbens Nishioka, Calin Belta
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Touching the Sound: Audible Features Enable Haptics for Robot Control
Hongshen Shi, Matteo Russo, Juan de la Torre, Abdelkhalick Mohammad, Xin Dong, Dragos Axinte
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A Little Bit Attention Is All You Need for Person Re-Identification
Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian, Horst-Michael Gross
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Embodied Referring Expression for Manipulation Question Answering in Interactive Environment
Qie Sima, Sinan Tan, Huaping Liu, Fuchun Sun
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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia, Ankur Mali
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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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Learning Arm-Assisted Fall Damage Reduction and Recovery for Legged Mobile Manipulators
YUNTAO MA, Farbod Farshidian, Marco Hutter
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RoLM: Radar on LiDAR Map Localization
Yukai Ma, Xiangrui Zhao, Han Li, Yaqing Gu, Xiaolei Lang, Yong Liu
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CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
Yifeng Bai, Zhirong Chen, Zhangjie Fu, Lang Peng, Pengpeng Liang, Erkang Cheng
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Interactive Object Segmentation in 3D Point Clouds
Theodora Kontogianni, Ekin Celikkan, Siyu Tang, Konrad Schindler
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TRADE: Object Tracking with 3D Trajectory and Ground Depth Estimates for UAVs
Pedro F. Proença, Patrick Spieler, Robert Hewitt, Jeff Delaune
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Domain Generalised Fully Convolutional One Stage Detection
Karthik Seemakurthy, Petra Bosilj, Erchan Aptoula, Charles Fox
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Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning
Ellis Ratner, Claire Tomlin, Maxim Likhachev
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TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
Hongjie Fang, Hao-Shu Fang, Sheng Xu, Cewu Lu
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Contingency-Aware Task Assignment and Scheduling for Human-Robot Teams
Neel Dhanaraj, Santosh Varadanahalli Narayan, Stefanos Nikolaidis, Satyandra K. Gupta
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EdgeVO: An Efficient, Accurate, and Robust Edge-Based Visual Odometry
Hui Zhao, Jianga Shang, Kai Liu, Chao Chen, Fuqiang Gu
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Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving under Static and Dynamic Obstacle Constraints
Rowan Dempster, Mohammad Alsharman, Derek Rayside, William Melek
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Uncertainty-aware LiDAR Panoptic Segmentation
Kshitij Sirohi, Mohammad Sajad Marvi, Daniel Büscher, Wolfram Burgard
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A Benchmark for Multi-Robot Planning in Realistic, Complex and Cluttered Environments
Simon Schaefer, Luigi Palmieri, Lukas Heuer, Rüdiger Dillmann, Sven Koenig, Alexander Kleiner
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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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Neural Grasp Distance Fields for Robot Manipulation
Thomas Weng, David Held, Franziska Meier, Mustafa Mukadam
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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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Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Michael Streichenberg, Elia Trevisan, Jen Jen Chung, Roland Siegwart, Javier Alonso-Mora
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Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving
Haochen Liu, Zhiyu Huang, Chen Lv
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Collision-Free Coverage Path Planning for the Variable-Speed Curvature-Constrained Robot
Lin Li, Dianxi Shi, Songchang Jin, Yixuan Sun, Xing Zhou, Shaowu Yang, Hengzhu Liu
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Few-Shot Point Cloud Semantic Segmentation Via Contrastive Self-Supervision and Multi-Resolution Attention
Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng Lee
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
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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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Multi-Swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-Dimensional Expensive Problems
Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou
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Safe and Efficient Navigation in Extreme Environments Using Semantic Belief Graphs
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel Kochenderfer, Ali-akbar Agha-mohammadi
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Autonomous Dozer Sand Grading under Localization Uncertainties
Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein
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SAMLoc: Structure-Aware Constraints with Multi-Task Distillation for Long-Term Visual Localization
Jian Ning, Yunzhou Zhang, Xinge Zhao, Sonya Coleman, Kunmo Li, Dermot Kerr
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A Markov Chain Model for Workflow Analysis in Operating Rooms
Hanyi Zheng, Qing Wang, Jingshan Li
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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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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Knowledge Distillation for Feature Extraction in Underwater VSLAM
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
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Robust Imaging Sonar-Based Place Recognition and Localization in Underwater Environments
Ho Gyun Kim, Kang Gilhwan, Seokhwan Jeong, Seungjun Ma, Younggun Cho
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Ground Then Navigate: Language-Guided Navigation in Dynamic Scenes
Kanishk Jain, Varun Chhangani, Amogh Tiwari, Madhava Krishna, Vineet Gandhi
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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One Training for Multiple Deployments: Polar-Based Adaptive BEV Perception for Autonomous Driving
Huitong Yang, Xuyang BAI, Xinge Zhu, Yuexin Ma
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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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Code As Policies: Language Model Programs for Embodied Control
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Peter Florence, Andy Zeng
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