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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1648 result(s) for “Deep Learning in Robotics and Automation” Page 8 of 33
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SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search
Jeongwoo Oh, Jae Seok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, Songhwai Oh
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Characterisation of Antagonistically Actuated, Stiffness-Controllable Joint-Link Units for Cobots
Wenlong Gaozhang, Jialei Shi, Yue Li, Agostino Stilli, Helge Arne Wurdemann
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Real-Time Constrained 6D Object-Pose Tracking of An In-Hand Suture Needle for Minimally Invasive Robotic Surgery
Zih-Yun Chiu, Florian Richter, Michael C. Yip
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Online Social Robot Navigation in Indoor, Large and Crowded Environments
Steven Alexander Silva Mendoza, NERVO XAVIER VERDEZOTO DIAS, Dennys Paillacho, Samuel Millan-Norman, Juan D. Hernández
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Inflated Bendable Eversion Cantilever Mechanism with Inner Skeleton for Increased Stiffness
Tomoya Takahashi, Masahiro Watanabe, Kazuki Abe, Kenjiro Tadakuma, Naoto Saiki, Masashi Konyo, Satoshi Tadokoro
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Wide-Area Geolocalization with a Limited Field of View Camera
Lena Downes, Ted Steiner, Rebecca Russell, Jonathan How
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FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environment
Peter Schaldenbrand, James McCann, Jean Oh
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Extrinsic Calibration for Highly Accurate Trajectories Reconstruction
Maxime Vaidis, William Dubois, Alexandre Guénette, Johann Laconte, Vladimir Kubelka, Francois Pomerleau
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Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation
Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, Ayoung Kim
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Loosely-Coupled Localization Fusion System Based on Track-To-Track Fusion with Bias Alignment
Soyeong Kim, Kichun Jo, Benazouz BRADAI, Paulo RESENDE, Jaeyoung Jo
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Robotic Navigation Autonomy for Subretinal Injection Via Intelligent Real-Time Virtual iOCT Volume Slicing
Shervin Dehghani, Michael Sommersperger, Peiyao Zhang, Alejandro Martin-Gomez, Benjamin Busam, Peter Gehlbach, Nassir Navab, M. Ali Nasseri, Ioan Iulian Iordachita
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Discrete-Continuous Smoothing and Mapping
Kevin Doherty, Ziqi Lu, Kurran Singh, John Leonard
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Design and characterization of a low mechanical loss, high-resolution wearable strain gauge
Addison Liu, Oluwaseun Adelowo Araromi, Conor James Walsh, Robert Wood
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Humans Need Augmented Feedback to Physically Track Non-Biological Robot Movements
Mahdiar Edraki, Pauline Maurice, Dagmar Sternad
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CARE: Cooperation of AI-Robot Enablers to Create a Vibrant Society
Ankit A. Ravankar, Seyed Amir Tafrishi, Jose Victorio Salazar Luces, Fumi Seto, Yasuhisa Hirata
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DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints Using Attention-Based Generative Adversarial Network
Payam Nikdel, Mohammad Mahdavian, Mo Chen
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D-Align: Dual Query Co-Attention Network for 3D Object Detection Based on Multi-Frame Point Cloud Sequence
Junhyung Lee, Junho Koh, Youngwoo Lee, Jun Won Choi
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AANet: Aggregation and Alignment Network with Semi-Hard Positive Sample Mining for Hierarchical Place Recognition
Feng Lu, Lijun Zhang, Shuting Dong, Baifan Chen, Chun Yuan
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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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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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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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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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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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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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Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
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Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
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Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
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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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Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen, Tian Lan, Vaneet Aggarwal
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Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
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DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation with Differentiable Simulation
Sirui Chen, Yunhao Liu, Shang Wen Yao, Jialong LI, Tingxiang Fan, Jia Pan
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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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Reinforcement Learning-Based Optimal Multiple Waypoint Navigation
Christos Vlachos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Learning Generalizable Pivoting Skills
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
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