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728 result(s) for “Reinforcement Learning” Page 6 of 15
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Robotic Modules for a Continuum Manipulator with Variable Stiffness Joints
Linda Paterno, Canberk Sozer, sujit sahu, Arianna Menciassi
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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SofToss: Learning to Throw Objects with a Soft Robot
Diego Bianchi, Michele Gabrio Ernesto Antonelli, Cecilia Laschi, Angelo Maria Sabatini, Egidio Falotico
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception
Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov
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Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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Interactive Continual Learning Architecture for Long-Term Personalization of Home Service Robots
Ali Ayub, Chrystopher Nehaniv, Kerstin Dautenhahn
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Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills
Ben Abbatematteo, Eric Rosen, Skye Thompson, Mete Tuluhan Akbulut, Sreehari Rammohan, George Konidaris
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Lifelong Robot Learning with Human Assisted Language Planners
Meenal Parakh, Alisha Fong, Anthony Simeonov, Tao Chen, Abhishek Gupta, Pulkit Agrawal
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Under Pressure: Learning-Based Analog Gauge Reading in the Wild
Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Direct learning of home vector direction for insect-inspired robot navigation
Michiel Vital M Firlefyn, Jesse Hagenaars, Guido de Croon
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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Hierarchical Meta-Learning-Based Adaptive Controller
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
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Learning Covariances for Estimation with Constrained Bilevel Optimization
Mohamad Qadri, Zachary Manchester, Michael Kaess
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Learning Interaction Regions and Motion Trajectories Simultaneously from Egocentric Demonstration Videos
Jianjia Xin, Lichun Wang, Kai Xu, Chao Yang, Baocai Yin
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Learning to Play Foosball: System and Baselines
Janosch Moos, Cedric Derstroff, Niklas Schröder, Debora Clever
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Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
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Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, Karen Liu
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Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
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Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
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Learning Emergent Gaits with Decentralized Phase Oscillators: On the Role of Observations, Rewards, and Feedback
Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
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The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
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SpawnNet: Learning Generalizable Visuomotor Skills from Pre-Trained Network
Xingyu Lin, John Ian So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
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Robust Jumping with an Articulated Soft Quadruped Via Trajectory Optimization and Iterative Learning
Jiatao Ding, Mees Alexander van Löben Sels, Franco Angelini, Jens Kober, Cosimo Della Santina
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Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
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V-STRONG: Visual Self-Supervised Traversability Learning for Off-Road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, Alexander Lambert
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Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan, Quang-Cuong Pham
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NetLfD: Network-Aware Learning from Demonstration for In-Contact Skills Via Teleoperation
Başak Güleçyüz, Vincent von Büren, Xiao Xu, Eckehard Steinbach
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger, Hugo Tadashi Kussaba, Lingyun Chen, Luis Figueredo, Abdalla Swikir, Aude Billard, Sami Haddadin
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Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Yuhong Deng, Kai Mo, Chongkun XIA, xueqian WANG
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RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy
Mert Asim Karaoglu, Viktoria Markova, Nassir Navab, Benjamin Busam, Alexander Ladikos
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Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning
Renzo Caballero, Piotr Piękos, Eric Feron, Jurgen Schmidhuber
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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Learning Vision-Based Pursuit-Evasion Robot Policies
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
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Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
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Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural Networks
Yu Zhang, Yongxiang Zou, Haoyu Zhang, Xiuze Xia, Long Cheng
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Learning Highly Dynamic Behaviors for Quadrupedal Robots
Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han
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