Papers
1,468 papers found
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
Shushman Choudhury, Jayesh Gupta, Mykel Kochenderfer et al.
Efficient Parametric Multi-Fidelity Surface Mapping
Aditya Dhawale, Nathan Michael
Elaborating on Learned Demonstrations with Temporal Logic Specifications
Craig Innes, Subramanian Ramamoorthy
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Archit Sharma, Michael Ahn, Sergey Levine et al.
Ergodic Specifications for Flexible Swarm Control: From User Commands to Persistent Adaptation
Ahalya Prabhakar, Ian Abraham, Annalisa Taylor et al.
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Brian Lim et al.
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
Glen Chou, Necmiye Ozay, Dmitry Berenson
Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability
Forrest Laine, Chih-Yuan Chiu, Claire Tomlin
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures
Allen Wang, Xin Huang, Ashkan Jasour et al.
Fast Uniform Dispersion of a Crash-prone Swarm
Michael Amir, Freddy Bruckstein
Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations
Thibaut Kulak, Joao Silverio, Sylvain Calinon
Frequency Modulation of Body Waves to Improve Performance of Limbless Robots
Baxi Zhong, Tianyu Wang, Jennifer Rieser et al.
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
Kyungjae Lee, Sungyub Kim, Sungbin Lim et al.
Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications
Roma Patel, Ellie Pavlick, Stefanie Tellex
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín et al.
Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints
Zheyuan Wang, Matthew Gombolay
HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning
Jaesung Park, Dinesh Manocha
In-Situ Learning from a Domain Expert for Real World Socially Assistive Robot Deployment
Katie Winkle, Severin Lemaignan, Praminda Caleb-Solly et al.
Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework
Yashraj Narang, Karl Van Wyk, Arsalan Mousavian et al.
Iterative Repair of Social Robot Programs from Implicit User Feedback via Bayesian Inference
Michael Jae-Yoon Chung, Maya Cakmak
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
Junhong Xu, Kai Yin, Lantao Liu
Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty
Dicong Qiu, Yibiao Zhao, Chris Baker
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel et al.
Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication
Brian Reily, Christopher Reardon, Hao Zhang
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
Jacky Liang, Saumya Saxena, Oliver Kroemer