Program

Date: October 5th, 2023
Venue: Room 330A, Huntington Place, Detroit, Michigan, USA.

Plan of the day:

8:30 - 8:45      Welcome and introduction

8:45 – 9:30     Talk 1: João Silvério (DLR): "Leveraging prior knowledge and probabilistic models for efficient learning and shared control"

9:30 – 10:15   Talk 2: Coline Devin (Google Deepmind): "RoboCat: A self-improving robotic agent"

10:15 – 10:30 Coffee break (authors shall set up posters)

10:30 – 11:15 Talk 3: Georgia Chalvatzaki (TU Darmstadt): "Walking the line between classical and learning-based methods for intelligent robotic manipulation"

11:15 – 12:00 Talk 4: Matei Ciocarlie (Columbia U.): "Model-based sampling helps model-free learning for highly dexterous in-hand manipulation"

12:00 – 13:00 Poster Session (including 2 flash talk)

13:00 – 14:00 Lunch Break (poster discussions can continue)

14:00 – 14:45 Talk 5: ‪Aude Billard (EPFL): TBA

14:45 – 15:30 Talk 6: Kento Kawaharazuka (U. of Tokyo): "Learning-based manipulation and grasping with flexible arms and hands"

15:30 – 15:45 Coffee break

15:45 – 16:30 Talk 7: Dominik Bauer (Columbia U.): "Visual and Physical Plausibility in Object Pose Estimation"

16.30 – 17:15 Talk 8: Xiaolong Wang (UC San Diego): "Multisensory learning for generalizable dexterous manipulation"

17:15 – 17:30 Closing Remarks and Paper Awards

40-min talks + 5-min Q&A

Accepted Papers

• Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation
  Asad Ali Shahid (IDSIA); Yashraj S Narang (NVIDIA); Ankur Handa (NVIDIA); Dieter Fox (NVIDIA); Marco Pavone (Stanford University); Loris Roveda (SUPSI/USI-IDSIA)*
  Paper

• Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
  Haonan Chen (University of Illinois, Urbana-Champaign)*; Yilong Niu (University of Illinois, Urbana-Champaign); Kaiwen Hong (University of Illinois, Urbana-Champaign); Shuijing Liu (University of Illinois at Urbana Champaign); Yixuan Wang (University of Illinois at Urbana-Champaign); Yunzhu Li (Stanford University & University of Illinois at Urbana-Champaign); Katherine Driggs-Campbell (University of Illinois at Urbana-Champaign)
  Paper Video

• Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and Learning
  Jianzhuang Zhao (Italian Institute of Technology)*
  Paper Video

• AnyGrasp: A Library for Human-level Grasp Perception in Cluttered and Dynamic Environments
  Hao-Shu Fang (SJTU)*; Chenxi Wang (Shanghai Jiao Tong University); Hongjie Fang (Shanghai Jiao Tong University); Minghao Gou (Shanghai Jiao Tong University); Jirong Liu (Shanghai JiaoTong University); Hengxu Yan (Shanghai Jiao Tong University); Wenhai Liu (Shanghai Jiao Tong University); Yichen Xie (shanghai jiao tong university); Cewu Lu (Shanghai Jiao Tong University)
  Paper

• AI-based Approach for Throwing and Grasping Objects from Unknown Positions by Soft Robot Upper Body Manipulators
  Mohammad Al Homsi (University of Palermo); Maja Trumic (University of Belgrade); Giansalvo Cirrincione (Université de Picardie Jules Verne); Adriano Fagiolini (University of Palermo)*

• Visual Dexterity: In-hand Dexterous Manipulation from Depth
  Tao Chen (MIT)*; Megha Tippur (MIT); Siyang Wu (Princeton University); Vikash Kumar (Univ. of Washington); Edward H Adelson (MIT, USA); Pulkit Agrawal (MIT)
  Paper Video

• On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks
  Mohammad Nomaan Qureshi (International Institute of Information Technology, Hyderabad, Telangana); Benjamin Eisner (Carnegie Mellon University)*; David Held (CMU)
  Paper

• How Does Noising Data Affect Learned Contact Dynamics?
  Hyung Ju Terry Suh (MIT)*; Max Simchowitz (MIT); Tao Pang (MIT); Russ Tedrake (MIT)
  Paper

• Learning Plan-Satisficing Motion Policies from Demonstrations
  Yanwei Wang (MIT)*; Nadia Figueroa (UPenn); Shen Li (MIT); Ankit Shah (Brown University); Julie Shah (MIT)
  Paper

• LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping
  Zhengtong Xu (Purdue University)*; Yu She (Purdue University)
  Paper Video

• Dynamic-Resolution Model Learning for Object Pile Manipulation
  Yixuan Wang (University of Illinois at Urbana-Champaign); Yunzhu Li (Stanford University & University of Illinois at Urbana-Champaign)*; Katherine Driggs-Campbell (University of Illinois at Urbana-Champaign); Li Fei-Fei (Stanford University); Jiajun Wu (Stanford University)
  Paper

• Value of Assistance for Grasping
  Mohammad Masarwy (Technion - Israel Institute of Technology); Yuval Goshen (Technion); David Dovrat (Technion); Sarah Keren (Technion - Israel Institute of Technology)*
  Paper

• Neural Field Movement Primitives for Joint Modelling of Scenes and Motions
  Ahmet Tekden (Chalmers University of Technology)*; Marc Deisenroth (University College London); Yasemin Bekiroglu (Chalmers)
  Paper Video

• Offline Adaptive Domain Randomization for Closed-loop Control of Soft Robots
  Gabriele Tiboni (Polytechnic of Turin)*; Andrea Protopapa (Polytechnic of Turin); Tatiana Tommasi (Politecnico di Torino); Giuseppe Averta (Politecnico di Torino)

• Pick Planning Strategies for Large-Scale Package Manipulation
  Shuai Li (Amazon Robotics); Azarakhsh Keipour (Amazon Robotics)*; Kevin Jamieson (U Washington); Nicolas Hudson (Amazon Robotics); Sicong Zhao (Amazon Robotics); Charles Swan (Amazon Robotics); Kostas Bekris (Rutgers University)
  Paper Video

• Model-predictive control for non-prehensile tray-based object transportation
  Mario Selvaggio (University of Naples Federico II)*; Fabio Ruggiero (University of Naples Federico II); Bruno Siciliano (University of Naples Federico II)
  Paper Video