OMRON SINIC X Six Research Papers Accepted for ICRA 2024, Top-Tier Conference on Robotics
- May 10, 2024
OMRON SINIC X Corporation (Headquarters: Bunkyo-ku, Tokyo; President and CEO: Masaki Suwa; hereinafter referred to as "OSX") is pleased to announce that six of its research papers have been accepted for publication at the 2024 IEEE International Conference on Robots and Automation (ICRA 2024).
ICRA is one of the largest and most influential international conferences on robotics and automation. A total of 1,765 papers (about 45%) were accepted out of 3,937 submissions in 2024. The conference will be held in Yokohama, Japan, from May 13 to 17, 2024. Our papers present research robots that understand work intentions based on linguistic and scene observations, move flexibly like humans, or autonomously cooperate with other robots.
For details, please confirm the link of each paper accepted for ICRA 2024.
笆Paper accepted for ICRA 2024
*All presentation times are in local time
*Affiliation at the time of submission
1. Vision-Language Interpreter for Robot Task Planning
Authors | Keisuke Shirai (OSX), Cristian Camilo Beltran-Hernandez (OSX), Masashi Hamaya (OSX), Atsushi Hashimoto (OSX), Shohei Tanaka (OSX), Kento Kawaharazuka (The University of Tokyo), Kazutoshi Tanaka (OSX), Yoshitaka Ushiku (OSX), Shinsuke Mori (Kyoto university) |
Time and Session | 10:30-12:00, May 14, Paper TuAT30-NT.1 |
Related page | https://arxiv.org/abs/2311.00967 https://kskshr.github.io/vilain/ |
2. An Electromagnetism-Inspired Method for Estimating In-Grasp Torque from Visuotactile Sensors
Authors | Yuni Fuchioka (OSX), Masashi Hamaya (OSX) |
Time and Session | 10:30-12:00, May 14, Paper TuAT16-AX.4 |
Related page |
https://arxiv.org/abs/2404.15626 https://omron-sinicx.github.io/tactile-dipole-monent/ https://github.com/omron-sinicx/tactile-dipole-monent |
3. SliceIt! - A Dual Simulator Framework for Learning Robot Food Slicing
Authors | Cristian Camilo Beltran-Hernandez (OSX), Nicolas Erbetti (OSX), Masashi Hamaya (OSX) |
Time and Session | 13:30-15:00, May 14, Paper TuBT30-NT.2 |
Related page |
https://arxiv.org/abs/2404.02569 https://omron-sinicx.github.io/sliceit/ https://github.com/omron-sinicx/sliceit |
4. When to Replan? an Adaptive Replanning Strategy for Autonomous Navigation Using Deep Reinforcement Learning
Authors | Kohei Honda (OSX), Ryo Yonetani (OSX, Current affiliation: CyberAgent, Inc.), Mai Nishimura (OSX), Tadashi Kozuno (OSX) |
Time and Session | 16:30-18:00, May 14, Paper TuCT30-NT.1 |
Related page |
https://arxiv.org/abs/2304.12046 https://omron-sinicx.github.io/when2replan/ |
5. Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Authors | Nguyen Hai (OSX), Tadashi Kozuno (OSX), Cristian Camilo Beltran-Hernandez (OSX), Masashi Hamaya (OSX) |
Time and Session | 13:30-15:00, May 15, Paper WeBT10-CC.6 |
Related page |
https://arxiv.org/abs/2402.18002 https://omron-sinicx.github.io/symmetry-aware-pomdp/ https://github.com/omron-sinicx/symmetry-aware-pomdp |
6. Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Authors | Kazumi Kasaura (OSX), Shuwa Miura (OSX), Tadashi Kozuno (OSX), Ryo Yonetani (OSX, Current affiliation: CyberAgent, Inc.), Kenta Hoshino (Kyoto University), Yohei Hosoe (Kyoto University) |
Time and Session | 16:30-18:00, May 16, Paper ThCT12-CC.8 |
Related page |
https://doi.org/10.1109/LRA.2023.3284378 https://omron-sinicx.github.io/action-constrained-RL-benchmark/ |
For a list of OSX's publications, please visit
https://www.omron.com/global/en/technology/publications/?affiliation=%5B%22OSX%22%5D
About OMRON SINIC X Corporation
OMRON SINIC X Corporation is a strategic subsidiary seeking to realize the "near future designs" that OMRON forecasts. It is comprised of researchers with cutting-edge knowledge and experience across a wide range of technological domains, including AI, Robotics, IoT, and sensing. With the aim of addressing social issues, OSX integrates innovative technologies with business models and strategies in technology and IP to create near-future designs. Additionally, the company accelerates the creation of these designs through collaborative research with universities and external research institutions. For more details, please refer to https://www.omron.com/sinicx/en/