Research Analyzer

ICRA 2024

2337 papers · 0 AI summaries · 2024

Clear
2315 result(s) for “Integrated Planning and Learning” Page 11 of 47
Title & Authors Actions
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models
Pushkal Katara, Zhou Xian, Aikaterini Fragkiadaki
 View PDF
Learning Covariances for Estimation with Constrained Bilevel Optimization
Mohamad Qadri, Zachary Manchester, Michael Kaess
 View PDF
Teach and Repeat Navigation: A Robust Control Approach
Payam Nourizadeh, Michael J Milford, Tobias Fischer
 View PDF
Learning Interaction Regions and Motion Trajectories Simultaneously from Egocentric Demonstration Videos
Jianjia Xin, Lichun Wang, Kai Xu, Chao Yang, Baocai Yin
 View PDF
Learning to Play Foosball: System and Baselines
Janosch Moos, Cedric Derstroff, Niklas Schröder, Debora Clever
 View PDF
Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
 View PDF
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Malte Mosbach, Sven Behnke
 View PDF
Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
 View PDF
Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
 View PDF
Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, Karen Liu
 View PDF
Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance, and Riemannian Mixture Models
Ho Jin Choi, Nadia Figueroa
 View PDF
Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields
Jianxiong Shen, Ruijie Ren, Adrià Ruiz, Francesc Moreno-Noguer
 View PDF
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
 View PDF
Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
 View PDF
Learning Emergent Gaits with Decentralized Phase Oscillators: On the Role of Observations, Rewards, and Feedback
Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim
 View PDF
Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse
Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim
 View PDF
Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
 View PDF
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
 View PDF
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
 View PDF
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-Trained Network
Xingyu Lin, John Ian So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
 View PDF
MORPHeus: A Multimodal One-Armed Robot-Assisted Peeling System with Human Users In-The-Loop
Ruolin Ye, Yifei Hu, Yuhan Bian, Luke Kulm, Tapomayukh Bhattacharjee
 View PDF
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
 View PDF
Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim, Ukcheol Shin, Jung-Yup Kim
 View PDF
MORPH: Design Co-Optimization with Reinforcement Learning Via a Differentiable Hardware Model Proxy
Zhanpeng He, Matei Ciocarlie
 View PDF
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
 View PDF
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
 View PDF
Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
 View PDF
Surgical Gym: A High-Performance GPU-Based Platform for Reinforcement Learning with Surgical Robots
Samuel Schmidgall, Axel Krieger, Jason Eshraghian
 View PDF
Reinforcement Learning for Freeform Robot Design
Muhan Li, David Matthews, Sam Kriegman
 View PDF
V-STRONG: Visual Self-Supervised Traversability Learning for Off-Road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, Alexander Lambert
 View PDF
Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan, Quang-Cuong Pham
 View PDF
The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation
Salvatore D'Avella, Matteo Bianchi, Ashok M. Sundaram, Carlo Alberto Avizzano, Maximo A. Roa, Paolo Tripicchio
 View PDF
Occlusion-Robust Autonomous Robotic Manipulation of Human Soft Tissues with 3D Surface Feedback
Junlei Hu, Dominic Jones, Mehmet R Dogar, Pietro Valdastri
 View PDF
Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
 View PDF
NetLfD: Network-Aware Learning from Demonstration for In-Contact Skills Via Teleoperation
Başak Güleçyüz, Vincent von Büren, Xiao Xu, Eckehard Steinbach
 View PDF
An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
 View PDF
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
 View PDF
Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
 View PDF
Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Yuhong Deng, Kai Mo, Chongkun XIA, xueqian WANG
 View PDF
Uncertainty-Aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
 View PDF
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
 View PDF
Conformal Policy Learning for Sensorimotor Control under Distribution Shifts
Huang Huang, Satvik Sharma, Antonio Loquercio, Anastasios Angelopoulos, Ken Goldberg, Jitendra Malik
 View PDF
Utilizing a Malfunctioning 3D Printer by Modeling Its Dynamics with Machine Learning
Renzo Caballero, Piotr Piękos, Eric Feron, Jurgen Schmidhuber
 View PDF
Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
 View PDF
Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu
 View PDF
Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
 View PDF
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
 View PDF
BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
 View PDF
Decentralized Motor Skill Learning for Complex Robotic Systems
Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen
 View PDF
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
 View PDF