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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1006 result(s) for “Robot Learning” Page 6 of 21
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OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors
Yuni Fuchioka, Zhaoming Xie, Michiel van de Panne
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AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
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Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Yuxuan Chen, Timothy Barfoot
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Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
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Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs
Jingyi Wang, JinFa Huang, Can Zhang, Zhidong Deng
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Sim2Real Learning of Obstacle Avoidance for Robotic Manipulators in Uncertain Environments
Tan Zhang, Kefang Zhang, Jiatao Lin, Wing-Yue Geoffrey Louie, Hui Huang
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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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Speeding up Assembly Sequence Planning through Learning Removability Probabilities
Alexander Cebulla, Tamim Asfour, Torsten Kroeger
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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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GraspAda: Deep Grasp Adaptation through Domain Transfer
Yiting Chen, Junnan Jiang, Ruiqi Lei, Yasemin Bekiroglu, Fei Chen, Miao Li
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Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
Boling Yang, Liyuan Zheng, Lillian Ratliff, Byron Boots, Joshua R. Smith
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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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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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PedFormer: Pedestrian Behavior Prediction Via Cross-Modal Attention Modulation and Gated Multitask Learning
Amir Rasouli, Iuliia Kotseruba
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Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
Jack Saunders, Sajad Saeedi, Wenbin Li
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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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Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning from Photorealistic Simulations
Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Gonzalo Jesús Paz Delgado, Levin Gerdes
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Deep Learning Reactive Robotic Grasping with a Versatile Vacuum Gripper
Zhang, Hui,Peeters, Jef,Demeester, Eric,Kellens, Karel
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Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers, Berthold Bäuml
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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss
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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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Credible Online Dynamics Learning for Hybrid UAVs
David Rohr, Nicholas Lawrance, Olov Andersson, Roland Siegwart
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Learning Tethered Perching for Aerial Robots
Fabian Hauf, Basaran Bahadir Kocer, Hai-Nguyen (Hann) Nguyen, Oscar Kwong Fai Pang, Ronald Clark, Edward Johns, Mirko Kovac
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Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning
Joaquim Ortiz-Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
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Learning Visual Locomotion with Cross-Modal Supervision
Antonio Loquercio, Ashish Kumar, Jitendra Malik
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GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics
Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo, Gabriele Costante, Giuseppe Loianno
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Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon
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Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
Daniel Garces, Sushmita Bhattacharya, Stephanie Gil, Dimitri Bertsekas
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Towards Consistent Batch State Estimation Using a Time-Correlated Measurement Noise Model
David Juny Yoon, Timothy Barfoot
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Ultra-Low Power Deep Learning-Based Monocular Relative Localization Onboard Nano-Quadrotors
Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi
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Feature Extraction for Effective and Efficient Deep Reinforcement Learning on Real Robotic Platforms
Peter Bohm, Pauline Pounds, Archie Chapman
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Learning to Influence Vehicles' Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars
Xiaoyu Ma, Negar Mehr
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Anticipation and Delayed Estimation of Sagittal Plane Human Hip Moments using Deep Learning and a Robotic Hip Exoskeleton
Dean Molinaro, Ethan Park, Aaron Young
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Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)
Yanbo Wang, Hanwen Yang, Jianwei Cai, Guangming Wang, Jingchuan Wang, YI Huang
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User-Conditioned Neural Control Policies for Mobile Robotics
Leonard Bauersfeld, Elia Kaufmann, Davide Scaramuzza
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Training Efficient Controllers Via Analytic Policy Gradient
Nina Wiedemann, Valentin Wüest, Antonio Loquercio, Matthias Müller, Dario Floreano, Davide Scaramuzza
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Grounding Language with Visual Affordances Over Unstructured Data
Oier Mees, Jessica Borja Diaz, Wolfram Burgard
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Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
Tao Li, Haozhe Lei, Quanyan Zhu
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Throwing Objects into a Moving Basket While Avoiding Obstacles
Hamidreza Kasaei, Mohammadreza Kasaei
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Global and Reactive Motion Generation with Geometric Fabric Command Sequences
Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan Ratliff, Fabio Ramos
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ExAug: Robot-Conditioned Navigation Policies Via Geometric Experience Augmentation
Noriaki Hirose, Dhruv Shah, Ajay Sridhar, Sergey Levine
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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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Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
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Stable Neural Adaptive Filters for Teleoperations with Uncertain Delays
Parham Kebria, Abbas Khosravi, Saeid Nahavandi
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Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
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Unseen Object Instance Segmentation with Fully Test-Time RGB-D Embeddings Adaptation
Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu
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