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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1567 result(s) for “Deep Learning for Visual Perception” Page 12 of 32
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SE(3)-DiffusionFields: Learning Smooth Cost Functions for Joint Grasp and Motion Optimization through Diffusion
Julen Urain De Jesus, Niklas Wilhelm Funk, Jan Peters, Georgia Chalvatzaki
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LGCNet: Feature Enhancement and Consistency Learning Based on Local and Global Coherence Network for Correspondence Selection
Tzu-Han Wu, Kuan-Wen Chen
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Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators
Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jagersand
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Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways
Jin Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
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Meta Reinforcement Learning for Optimal Design of Legged Robots
Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter
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Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
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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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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving
Ryan Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
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Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
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Interactive Dynamic Walking: Learning Gait Switching Policies with Generalization Guarantees
Prem Chand, Sushant Veer, Ioannis Poulakakis
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Efficient Bimanual Handover and Rearrangement Via Symmetry-Aware Actor-Critic Learning
Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu
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Failure-Aware Policy Learning for Self-Assessable Robotics Tasks
Kechun Xu, Runjian Chen, Shuqi Zhao, Zizhang Li, Hongxiang Yu, Ci Chen, Yue Wang, Rong Xiong
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FourStr: When Multi-Sensor Fusion Meets Semi-Supervised Learning
bangquan xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong weng, Bing Li
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Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
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Guided Learning from Demonstration for Robust Transferability
Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse
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Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
Giulio Schiavi, Paula Wulkop, Giuseppe Maria Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration
Taha Baturhan Akbulut, GÃ1⁄4lsÃ1⁄4m Tuba Çibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Oztop
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Learning Performance Graphs from Demonstrations Via Task-Based Evaluations
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
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An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes
Ersin Das, Joel Burdick
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Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Tao Huang, Kai Chen, Bin LI, Yunhui Liu, Qi Dou
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Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Theodore Wu, Satvick Acharya, Abdelrahman Khalil, Ahmed AlJanaideh, Mohammad Al Janaideh, Deepa Kundur
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TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
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Streaming LifeLong Learning with Any-Time Inference
Soumya Banerjee, Vinay Kumar Verma, Vinay Namboodiri
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Reinforcement Learning with Probabilistically Safe Control Barrier Functions for Ramp Merging
Soumith Udatha, Yiwei Lyu, John M. Dolan
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TransDSSL: Transformer Based Depth Estimation Via Self-Supervised Learning
DAECHAN HAN, JEONGMIN SHIN, Namil Kim, Soonmin Hwang, Yukyung Choi
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Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems
Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren
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Robust Adaptive Ensemble Adversary Reinforcement Learning
Peng Zhai, Taixian Hou, Xiaopeng Ji, Zhiyan Dong, Lihua ZHang
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RGB-D Grasp Detection Via Depth Guided Learning with Cross-Modal Attention
Ran Qin, Haoxiang Ma, Boyang Gao, Di Huang
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Online Learning and Suppression of Vibration in Collaborative Robots with Power Tools
Gokhan Solak, Arash Ajoudani
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Active Reward Learning from Online Preferences
Vivek Myers, Erdem Bıyık, Dorsa Sadigh
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Learning an Efficient Terrain Representation for Haptic Localization of a Legged Robot
Damian Sójka, Michal Ryszard Nowicki, Piotr Skrzypczynski
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Self-Adaptive Teaching-Learning-Based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
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FloorplanNet: Learning Topometric Floorplan Matching for Robot Localization
Delin Feng, Zhenpeng He, Jiawei Hou, Sören Schwertfeger, Liangjun Zhang
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Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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Real-Time Acoustic Holography with Iterative Unsupervised Learning for Acoustic Robotic Manipulation
Chengxi Zhong, Zhenhuan Sun, Teng LI, hu su, Song LIU
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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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Direct and Inverse Modeling of Soft Robots by Learning a Condensed FEM Model
Etienne Ménager, Tanguy Navez, Olivier Goury, Christian Duriez
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Design of Fully Controllable and Continuous Programmable Surface Based on Machine Learning
Wang, Jue,Suo, Jiaqi,Chortos, Alex
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A Unified BEV Model for Joint Learning of 3D Local Features and Overlap Estimation
Lin Li, Wendong Ding, YongKun Wen, Yufei Liang, Yong Liu, Guowei Wan
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Design Optimization and Data-driven Shallow Learning for Dynamic Modeling of a Smart Segmented Electroadhesive Clutch
Navid Feizi, Zahra Bahrami, S. Farokh Atashzar, Mehrdad R. Kermani, Rajnikant V. Patel
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Contact Surface and Pose Recognition: Utilizing Multipole Magnetic Tactile Sensor with Meta Learning Model
Ziwei Xia, Bin Fang, Fuchun Sun, Huaping Liu, Wei Feng Xu, Ling Fu, yiyong yang
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Learning Deposition Policies for Fused Multi-Material 3D Printing
Kang Liao, Thibault Tricard, Michal Piovarci, Hans-Peter Seidel, Vahid Babaei
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Learning Height for Top-Down Grasps with the DIGIT Sensor
Thais Bernardi, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi
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Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion
Letian Fu, Huang Huang, Lars Berscheid, Hui Li, Ken Goldberg, Sachin Chitta
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ViewBirdiformer: Learning to Recover Ground-Plane Crowd Trajectories and Ego-Motion from a Single Ego-Centric View
Mai Nishimura, Shohei Nobuhara, Ko Nishino
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Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion
Tolga-Can Çallar, Sven Böttger
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Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts
Stefano Pini, Christian Perone, Aayush Ahuja, Ana Sofia Rufino Ferreira, Moritz Niendorf, Sergey Zagoruyko
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