Robot Intelligence LAB
We will show you our intersting research!
Research Topics
- Motion Retargeting
- Uncertainty Estimation & Explainable AI
- Teleoperation with Shared Autonomy
- Motion Generation
- Soft Robotics
Our Research
International Journal: Pattern Recognition, 2022
Authors: Jihoon Kim, Taehyun Byun, Seungyoun Shin, Jungdam Won and Sungjoon Choi
In this paper, we focus on the methodology that can perform controllable motion in-betweening in two perspectives: pose-conditioned in-betweening and semantic-conditioned in-betweening. We also provide motion data augmentation strategy to improve the quality of pose-conditioned generation. The model generated by our framework outperforms the state-of-the-art motion in-betweening model while providing more controllability for users.
International Conference: ICRA, 2022
Authors: Sangbeom Park, Yoonbyung Chai, Sunghyun Park, Jeongeun Park, Kyungjae Lee and Sungjoon Choi
In this paper, we present a semi-autonomous teleoperation framework for a pick-and-place task using an RGB-D sensor. We assume that the target object is located in a cluttered environment where both prehensile grasping and non-prehensile manipulation are combined for efficient teleoperation.