An Expansive Latent Planner for Long-horizon Visual Offline Reinforcement Learning
Robert Gieselmann, Florian T. Pokorny
KTH Royal Institute of Technology, Sweden
Paper  |  Poster
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
National University of Singapore
Paper  |  Poster
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
Nina Marie Moorman, Nakul Gopalan, Aman Singh, Erin Hedlund-Botti, Mariah L Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew Gombolay
Georgia Institute of Technology, Arizona State University
Paper  |  Poster
Overcoming the Pitfalls of Prediction Error in Operator Learning for Bilevel Planning
Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Massachusetts Institute of Technology
Paper  |  Poster
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G Atkeson, Katerina Fragkiadaki
Carnegie Mellon University
Paper  |  Poster
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S Chirikjian
National University of Singapore, Johns Hopkins University
Paper  |  Poster
Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation
Constantinos Chamzas, Caelan Reed Garrett, Balakumar Sundaralingam, Lydia E Kavraki, Dieter Fox
Rice University, NVIDIA Research
Paper  |  Poster
Integrating Common Sense and Planning with Large Language Models for Room Tidying
Zhanxin Wu, Bo Ai, David Hsu
National University of Singapore
Paper  |  Poster
ReorientDiff: Diffusion Model based Reorientation for Object Manipulation
Utkarsh Aashu Mishra, Yongxin Chen
Georgia Institute of Technology
Paper  |  Poster
Leveraging Commonsense Knowledge from Large Language Models for Task and Motion Planning
Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang
The State University of New York at Binghamton, Meta AI
Paper  |  Poster
RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Junbo Wang, Haoyi Zhu, Cewu Lu
Shanghai Jiao Tong University
Paper  |  Poster