Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Sun, Lingfeng"'
Autor:
Wang, Yixiao, Tang, Chen, Sun, Lingfeng, Rossi, Simone, Xie, Yichen, Peng, Chensheng, Hannagan, Thomas, Sabatini, Stefano, Poerio, Nicola, Tomizuka, Masayoshi, Zhan, Wei
Diffusion models are promising for joint trajectory prediction and controllable generation in autonomous driving, but they face challenges of inefficient inference steps and high computational demands. To tackle these challenges, we introduce Optimal
Externí odkaz:
http://arxiv.org/abs/2408.00766
Autor:
Liang, Boyuan, Sun, Lingfeng, Zhu, Xinghao, Zhang, Bike, Xiong, Ziyin, Li, Chenran, Sreenath, Koushil, Tomizuka, Masayoshi
In reinforcement learning for legged robot locomotion, crafting effective reward strategies is crucial. Pre-defined gait patterns and complex reward systems are widely used to stabilize policy training. Drawing from the natural locomotion behaviors o
Externí odkaz:
http://arxiv.org/abs/2403.20001
Autor:
Yu, Mingrui, Liang, Boyuan, Zhang, Xiang, Zhu, Xinghao, Sun, Lingfeng, Wang, Changhao, Song, Shiji, Li, Xiang, Tomizuka, Masayoshi
Most research on deformable linear object (DLO) manipulation assumes rigid grasping. However, beyond rigid grasping and re-grasping, in-hand following is also an essential skill that humans use to dexterously manipulate DLOs, which requires continuou
Externí odkaz:
http://arxiv.org/abs/2403.12676
Autor:
Zhu, Xinghao, Jha, Devesh K., Romeres, Diego, Sun, Lingfeng, Tomizuka, Masayoshi, Cherian, Anoop
Automating the assembly of objects from their parts is a complex problem with innumerable applications in manufacturing, maintenance, and recycling. Unlike existing research, which is limited to target segmentation, pose regression, or using fixed ta
Externí odkaz:
http://arxiv.org/abs/2312.10571
Autor:
Sun, Lingfeng, Jha, Devesh K., Hori, Chiori, Jain, Siddarth, Corcodel, Radu, Zhu, Xinghao, Tomizuka, Masayoshi, Romeres, Diego
Designing robotic agents to perform open vocabulary tasks has been the long-standing goal in robotics and AI. Recently, Large Language Models (LLMs) have achieved impressive results in creating robotic agents for performing open vocabulary tasks. How
Externí odkaz:
http://arxiv.org/abs/2312.06876
Learning contact-rich manipulation skills is essential. Such skills require the robots to interact with the environment with feasible manipulation trajectories and suitable compliance control parameters to enable safe and stable contact. However, lea
Externí odkaz:
http://arxiv.org/abs/2310.10509
Publikováno v:
2023 IEEE RA-L
Local planning for a differential wheeled robot is designed to generate kinodynamic feasible actions that guide the robot to a goal position along the navigation path while avoiding obstacles. Reactive, predictive, and learning-based methods are wide
Externí odkaz:
http://arxiv.org/abs/2310.02648
Publikováno v:
IEEE ITSC 2023
Trajectory planning is crucial for the safe driving of autonomous vehicles in highway traffic flow. Currently, some advanced trajectory planning methods utilize spatio-temporal voxels to construct feasible regions and then convert trajectory planning
Externí odkaz:
http://arxiv.org/abs/2310.02625
Autor:
Huo, Mingxiao, Ding, Mingyu, Xu, Chenfeng, Tian, Thomas, Zhu, Xinghao, Mu, Yao, Sun, Lingfeng, Tomizuka, Masayoshi, Zhan, Wei
Humans inherently possess generalizable visual representations that empower them to efficiently explore and interact with the environments in manipulation tasks. We advocate that such a representation automatically arises from simultaneously learning
Externí odkaz:
http://arxiv.org/abs/2310.03023
Autor:
Yang, Wu-Te, Kurkcu, Burak, Hirao, Motohiro, Sun, Lingfeng, Zhu, Xinghao, Zhang, Zhizhou, Gu, Grace X., Tomizuka, Masayoshi
This paper introduces a full system modeling strategy for a syringe pump and soft pneumatic actuators(SPAs). The soft actuator is conceptualized as a beam structure, utilizing a second-order bending model. The equation of natural frequency is derived
Externí odkaz:
http://arxiv.org/abs/2310.01740