Papers

	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