Research Analyzer
← IROS 2024

All Papers

1856 papers in this venue.

Clear
1847 result(s) for “Learning Categories and Concepts” Page 2 of 37
Title & Authors Actions
MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
 PDF
Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
 PDF
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
 PDF
Task and Domain Adaptive Reinforcement Learning for Robot Control
Yu Tang Liu, Nilaksh Nilaksh, Aamir Ahmad
 PDF
VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
 PDF
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
 PDF
Learning-Informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics
Abhish Khanal, Hoang-Dung Bui, Erion Plaku, Gregory Stein
 PDF
Constrained Bootstrapped Learning for Few-Shot Robot Skill Adaptation
A K M Nadimul Haque, Fouad Sukkar, Lukas Tanz, Marc Carmichael, Teresa A. Vidal-Calleja
 PDF
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
 PDF
Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization
Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
 PDF
Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
 PDF
A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz
 PDF
CaT: Constraints As Terminations for Legged Locomotion Reinforcement Learning
Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Soueres, Nicolas Mansard
 PDF
Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
 PDF
Adaptive Social Force Window Planner with Reinforcement Learning
Mauro Martini, Noe Perez-Higueras, Andrea Ostuni, Marcello Chiaberge, Fernando Caballero, Luis Merino
 PDF
A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
 PDF
Fixing Symbolic Plans with Reinforcement Learning in Object-Based Action Spaces
Christopher Thierauf, Matthias Scheutz
 PDF
Communication-Efficient Multi-Robot Exploration Using Distributed Coverage-Biased Q-Learning
Ehsan Latif, Ramviyas Parasuraman
 PDF
RESPRECT: Speeding-Up Multi-Fingered Grasping with Residual Reinforcement Learning
Federico Ceola, Lorenzo Rosasco, Lorenzo Natale
 PDF
Active Learning for Forward/Inverse Kinematics of Redundantly-Driven Flexible Tensegrity Manipulator
Yuhei Yoshimitsu, Takayuki Osa, Heni Ben Amor, Shuhei Ikemoto
 PDF
Reinforcement Learning for Active Search and Grasp in Clutter
Thomas Pitcher, Julian Förster, Jen Jen Chung
 PDF
A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
 PDF
Signal Temporal Logic-Guided Apprenticeship Learning
Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
 PDF
SNF-Feat: Semantic-Guided Negative-Sample-Free Representation Learning for Local Feature Extraction
Xun Zhou, Qingqing Yan, Minghao Zhu, mengxian hu, Chengju Liu, Qijun Chen
 PDF
Hyperbolic Image-And-Pointcloud Contrastive Learning for 3D Classification
Naiwen Hu, Haozhe Cheng, Yifan Xie, Pengcheng Shi, Jihua Zhu
 PDF
Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
 PDF
Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks
Hanbit Oh, Takamitsu Matsubara
 PDF
CASRL: Collision Avoidance with Spiking Reinforcement Learning among Dynamic, Decision-Making Agents
Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
 PDF
Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition
minggang gan, Jinting Liu, Yuxuan He, aobo chen, Qianzhao Ma
 PDF
BaSeNet: A Learning-Based Mobile Manipulator Base Pose Sequence Planning for Pickup Tasks
Lakshadeep Naik, Sinan Kalkan, Sune Lundø Sørensen, Kjærgaard Mikkel, Norbert Krüger
 PDF
Continual Learning for Autonomous Robots: A Prototype-Based Approach
Elvin Hajizada, Balachandran Swaminathan, Yulia Sandamirskaya
 PDF
Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke
Pedro Leandro La Rotta, Jingxi Xu, Ava Chen, Lauren Winterbottom, Wenxi Chen, Dawn Nilsen, Joel Stein, Matei Ciocarlie
 PDF
Learning Human-To-Humanoid Real-Time Whole-Body Teleoperation
Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
 PDF
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
 PDF
Guiding Reinforcement Learning with Incomplete System Dynamics
Shuyuan Wang
 PDF
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
 PDF
FF-SRL: High Performance GPU-Based Surgical Simulation for Robot Learning
Diego Dall'Alba, Michał Naskręt, Sabina Kamińska, Przemyslaw Korzeniowski
 PDF
Raising Body Ownership in End-To-End Visuomotor Policy Learning Via Robot-Centric Pooling
Zheyu Zhuang, Ville Kyrki, Danica Kragic
 PDF
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
Anthony Liang, Jesse Thomason, Erdem Bıyık
 PDF
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
 PDF
Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
 PDF
TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun
 PDF
Uncertainty-Aware Deployment of Pre-Trained Language-Conditioned Imitation Learning Policies
Bo Wu, Bruce Lee, Kostas Daniilidis, Bernadette Bucher, Nikolai Matni
 PDF
Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
 PDF
Enhancing Safety Via Deep Reinforcement Learning in Trajectory Planning for Agile Flights within Unknown Environments
Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Cristiane Teixeira Vivaldini
 PDF
Cross-Observability Learning for Vehicle Routing Problems
Ruifan Liu, Hyo-Sang Shin, Antonios Tsourdos
 PDF
Mastering Scene Rearrangement with Expert-Assisted Curriculum Learning and Adaptive Trade-Off Tree-Search
Zan Wang, Hanqing Wang, Wei Liang
 PDF
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-Based Path Planning
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto Sangiovanni Vincentelli
 PDF
MorAL: Learning Morphologically Adaptive Locomotion Controller for Quadrupedal Robots on Challenging Terrains
Zeren Luo, YINZHAO DONG, Xinqi Li, Rui Huang, Zhengjie Shu, Erdong Xiao, Peng Lu
 PDF
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
 PDF