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2337 papers in this venue.

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2226 result(s) for “Deep Learning for Visual Perception” Page 14 of 45
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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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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Leveraging the Efficiency of Multi-Task Robot Manipulation Via Task-Evoked Planner and Reinforcement Learning
Haofu Qian, Haoyang Zhang, Jun Shao, Jiatao Zhang, Jason Gu, Wei Song, Shiqiang Zhu
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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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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Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
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An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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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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Learning Force Control for Legged Manipulation
Tifanny Portela, Gabriel Margolis, Yandong Ji, Pulkit Agrawal
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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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Learning Failure Prevention Skills for Safe Robot Manipulation
Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel
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Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, Johann Marius Zöllner
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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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Autonomous UAV Mission Cycling: A Mobile Hub Approach for Precise Landings and Continuous Operations in Challenging Environments
Alexander Moortgat-Pick, Marie Schwahn, Anna Adamczyk, Daniel Andre Duecker, Sami Haddadin
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A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration
Maleen Jayasuriya, Gibson Hu, Dinh Dang Khoa Le, Karyne Ang, Shankar Sankaran, Dikai Liu
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Distributional Reinforcement Learning with Sample-Set Bellman Update
Weijian Zhang, Jianshu Wang, Yu Yang
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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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Reinforcement Learning with Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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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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Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models
Pushkal Katara, Zhou Xian, Aikaterini Fragkiadaki
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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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Co-Learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong, Daniel Lawson, Joe Kurian Eappen, Ahmed H. Qureshi, Suresh Jagannathan
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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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Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse
Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim
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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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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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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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MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
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Robotic Offline RL from Internet Videos Via Value-Function Learning
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
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Reinforcement Learning for Freeform Robot Design
Muhan Li, David Matthews, Sam Kriegman
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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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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