Papers
1,468 papers found
Learning Generalizable Robotic Reward Functions from “In-The-Wild” Human Videos
Annie S. Chen, Suraj Nair, Chelsea Finn
Learning Instance-Level N-Ary Semantic Knowledge At Scale For Robots Operating in Everyday Environments
Weiyu Liu, Dhruva Bansal, Angel Daruna et al.
Learning Proofs of Motion Planning Infeasibility
Sihui Li, Neil Dantam
Learning Riemannian Manifolds for Geodesic Motion Skills
Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis et al.
Lyapunov-stable neural-network control
Hongkai Dai, Benoit Landry, Lujie Yang et al.
MAGIC: Learning Macro-Actions for Online POMDP Planning
Yiyuan Lee, Panpan Cai, David Hsu
Manipulator-Independent Representations for Visual Imitation
Yuxiang Zhou, Yusuf Aytar, Konstantinos Bousmalis
Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning
Amal Nanavati, Christoforos Mavrogiannis, Kevin Weatherwax et al.
Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation
Muchen Sun, Francesca Baldini, Peter Trautman et al.
Moving sidewinding forward: optimizing contact patterns for limbless robots via geometric mechanics
Baxi Chong, Tianyu Wang, Bo Lin et al.
MQA: Answering the Question via Robotic Manipulation
Yuhong Deng, Di Guo, Xiaofeng Guo et al.
NeRP: Neural Rearrangement Planning for Unknown Objects
Ahmed H Qureshi, Arsalan Mousavian, Chris Paxton et al.
NeuroBEM: Hybrid Aerodynamic Quadrotor Model
Leonard Bauersfeld, Elia Kaufmann, Philipp Foehn et al.
On complementing end-to-end human behavior predictors with planning
Liting Sun, Xiaogang Jia, Anca Dragan
On Minimizing the Number of Running Buffers for Tabletop Rearrangement
Kai Gao, Siwei Feng, Jingjin Yu
On the Importance of Environments in Human-Robot Coordination
Matthew Fontaine, Ya-Chuan Hsu, Yulun Zhang et al.
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
Jingnan Shi, Heng Yang, Luca Carlone
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning
Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
Grace Zhang, Linghan Zhong, Youngwoon Lee et al.
Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories
Talha Kavuncu, Ayberk Yaraneri, Negar Mehr
Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem
John Lloyd, Yijiong Lin, Nathan Lepora
PROMPT: Probabilistic Motion Primitives based Trajectory Planning
Tobias Loew, Tirthankar Bandyopadhyay, Jason Williams et al.
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics
Shen Li, Nadia Figueroa, Ankit Shah et al.
Proximal and Sparse Resolution of Constrained Dynamic Equations
Justin Carpentier, Rohan Budhiraja, Nicolas Mansard
Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning
Keenan Burnett, David J. Yoon, Angela P Schoellig et al.