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1006 result(s) for “Robot Learning” Page 5 of 21
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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Reinforcement Learning Control of a Reconfigurable Planar Cable Driven Parallel Manipulator
Adhiti Raman Thothathri, Ameya Salvi, Matthias Schmid, Venkat Krovi
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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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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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Learning Robotic Cutting from Demonstration: Non-Holonomic DMPs Using the Udwadia-Kalaba Method
Arturas Straizys, Michael Burke, Subramanian Ramamoorthy
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Toward Fine Contact Interactions: Learning to Control Normal Contact Force with Limited Information
Jinda Cui, Jiawei Xu, David Saldaña, Jeff Trinkle
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Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
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Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
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Exploring Navigation Maps for Learning-Based Motion Prediction
Julian Schmidt, Julian Jordan, Franz Gritschneder, Thomas Monninger, Klaus Dietmayer
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Follow the Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian Scherer
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NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
Ryan Griffiths, Jack Naylor, Donald Dansereau
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Improving Robot Navigation in Crowded Environments Using Intrinsic Rewards
Diego Martinez-Baselga, Luis Riazuelo, Luis Montano
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DriveIRL: Drive in Real Life with Inverse Reinforcement Learning
Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Momchil Tomov, Robert Beaudoin, Sang Uk Lee, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suárez-Ruiz, Bo Yang, Sammy Omari, Eric Wolff
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Multi-Alpha Soft Actor-Critic: Overcoming Stochastic Biases in Maximum Entropy Reinforcement Learning
Conor Igoe, Swapnil Pande, Siddarth Venkatraman, Jeff Schneider
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FDLNet: Boosting Real-Time Semantic Segmentation by Image-Size Convolution Via Frequency Domain Learning
Qingqing Yan, Shu Li, Chengju Liu, Ming Liu, Qijun Chen
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Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds
Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang LI
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Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
Mengxi Li, Rika Antonova, Dorsa Sadigh, Jeannette Bohg
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Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller, Daniel Brown
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Control of Rough Terrain Vehicles Using Deep Reinforcement Learning
Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin
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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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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
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Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards
Ruihua Han, Shengduo Chen, Shuaijun Wang, Zeqing Zhang, Rui Gao, QI HAO, Jia Pan
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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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CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion
Guillaume Bellegarda, Auke Ijspeert
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Self-Supervised Learning of Action Affordances As Interaction Modes
Liquan Wang, Nikita Dvornik, Rafael Dubeau, Mayank Mittal, Animesh Garg
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A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults
Fraser Robinson, Goldie Nejat
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Learning Setup Policies: Reliable Transition between Locomotion Behaviours
Tidd, Brendan,Leitner, Jurgen,Cosgun, Akansel,Hudson, Nicolas
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Learning-Based Relational Object Matching across Views
Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler
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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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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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Infrastructure-Based End-To-End Learning and Prevention of Driver Failure
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin Hasani, Sertac Karaman, Daniela Rus
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Practical Visual Deep Imitation Learning Via Task-Level Domain Consistency
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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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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Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network
HYUNGTAE LIM, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho LEE, Youngmin Park, Wonkeun Youn, Hyun Myung
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Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
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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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Gyro-Net: IMU Gyroscopes Random Errors Compensation Method Based on Deep Learning
Yunqi Gao, Dianxi Shi, Ruihao Li, Zhe Liu, Wen SUN
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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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