MyoSymposium'24
Expanding Frontiers of Sim2Real: Robotics, biomechanics, plasma physics, chip design, and beyond.
Friday May 17th 2024 | Area: North - Room: G1 | ICRA '24 PACIFICO Yokohama
Goal
This workshop aims to shed light on the interdisciplinary possibilities that Sim2Real offers. It seeks to gather experts from various fields, breaking down the traditional silos that have separated these disciplines. By doing so, we hope to create an environment where insights from one domain can catalyze breakthroughs in another, thus fostering a holistic approach to complex problems.
Event highlights ⇒
Overview
Sim2Real, an emerging cornerstone of robotics research, has transcended its origins and is now reshaping multiple scientific domains. This workshop proposes to explore the transformative potential of Sim2Real in diverse settings, including robotics, biomechanics, plasma physics, chip design, and beyond. By bridging traditional boundaries, we aim to cultivate interdisciplinary discussions, foster collaboration, and uncover new vistas of innovation via invited talks, poster sessions, panel discussions geared towards exploring the expanding frontiers of Sim2Real.
Invited Speakers
Program
8:55-9:00 Morning intro
9:00-9:30 Ang Wei Tech - Assistant through Human-in-the-Loop Simulation
9:30-10:00 Jitendra Malik - Recent successes of sim-to-real approaches in robotics: biped locomotion and dexterous manipulation
10:00-10:30 Animesh Garg - Efficient Robot Learning with First-Order methods
10:30-11:00 Break/Poster/Industrial demo
11:00-11:30 Sehoon Ha - Sim-to-real Transfer of Legged Robot Control Policies in the Real World
11:30-12:00 Tetsuya Ogata - Deep predictive learning for robot task learning in real world
12:00:12:30 Panel (Academic)
12:30-1:55 Lunch
1:55-2:00 Afternoon intro
2:00-2:30 Lerrel Pinto - Embracing Reality in the Age of Data-Driven Robotics
2:30-3:00 Vikash Kumar - Sim2Real beyond robotics
3:00-3:30 Panel (Industry)
3:30-4:00 Break/Poster/Industrial demo
4:00-4:30 Wenzhen Yuan - Simulating Robotic Tactile Sensors: Advancements and Hurdles
4:30-5:00 Ali Mesbah - Sim-to-real reinforcement learning for low-temperature plasma processing of materials
5:00-5:15 Closing and best poster announcement
Poster @ MyoSymposium'24
See to Touch: Learning Tactile Dexterity through Visual Incentives (Irmak Guzey, Yinlong Dai, Ben Evans, Soumith Chintala, Lerrel Pinto)
Maximizing Quadruped Velocity By Minimizing Energy (Srinath Mahankali, Chi-Chang Lee Gabriel B. Margolis, Zhang-Wei Hong, Pulkit Agrawal)
On Bringing Robots Home (Nur Muhammad "Mahi" Shafiullah, Anant Rai, Haritheja Etukuru, Yiqian Liu, Ishan Misra, Soumith Chintala, Lerrel Pinto)
UGVR: A Unified Generalizable Framework For Visual Reinforcement Learning (Tianming Wei, Zhecheng Yuan, Shuiqi Cheng, Gu Zhang, Huazhe Xu)
Control Parameters Selection for a Mobile Robotic Balance Assistant through Human-in-the-Loop Simulation (Yifan Wang, Sherwin Stephen Chan, Mingyuan Lei, Henry Johan, Wei Tech Ang)
Shared Autonomy Manipulation Synthesis with a Virtual Wearable Robotic Glove (Shirui Lyu, Vittorio Caggiano, Matteo Leonetti, Dario Farina, Letizia Gionfrida)
Reinforcement Learning Based Fault-Tolerant Surfacing Controller For a Bio-Inspired AUV With Sim2Real Transfer (Yuya Hamamatsu, Maarja Kruusmaa, Asko Ristolainen)
Language Model Guided Sim-To-Real Transfer (Yecheng Jason Ma, William Liang, Hung-Ju Wang, Yuke Zhu, Linxi "Jim" Fan, Osbert Bastani, Dinesh Jayaraman )
Learning the Representation of Overactuated Embodied Systems (Kaibo He, Chenhui Zuo, Chengtian Ma, Yanan Sui)