no code implementations • 3 Apr 2024 • Zhigen Zhao, Shuo Cheng, Yan Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao
Task and Motion Planning (TAMP) integrates high-level task planning and low-level motion planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic tasks.
no code implementations • 30 Mar 2024 • Tsung Heng Wu, Md Amiruzzaman, Ye Zhao, Deepshikha Bhati, Jing Yang
Third, we integrate these discovered patterns into driving route planners with new visualization techniques.
no code implementations • 9 Feb 2024 • Feiyang Wu, Zhaoyuan Gu, Ye Zhao, Anqi Wu
We implement variants of our methods, conduct experiments on the MuJoCo benchmark, and apply our methods to the Cassie robot locomotion problem.
no code implementations • 25 Oct 2023 • Kelin Yu, Yunhai Han, Matthew Zhu, Ye Zhao
To further mitigate the embodiment gap between humans and robots, we employ online residual reinforcement learning on the physical robot.
no code implementations • 28 Sep 2023 • Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
Enabling bipedal walking robots to learn how to maneuver over highly uneven, dynamically changing terrains is challenging due to the complexity of robot dynamics and interacted environments.
no code implementations • 1 Aug 2023 • Tinghao Feng, Yueqi Hu, Jing Yang, Tom Polk, Ye Zhao, Shixia Liu, Zhaocong Yang
When exploring time series datasets, analysts often pose "which and when" questions.
no code implementations • 19 Jul 2023 • Zijie Song, Zhenzhen Hu, Yuanen Zhou, Ye Zhao, Richang Hong, Meng Wang
The crucial issue in this task is to model the global and the local matching between the image and different languages.
1 code implementation • 26 Nov 2022 • Zhong Ji, Junhua Hu, Deyin Liu, Lin Yuanbo Wu, Ye Zhao
To implement this task, one needs to extract multi-scale features from both image and text domains, and then perform the cross-modal alignment.
no code implementations • 3 Feb 2022 • Jesse Jiang, Ye Zhao, Samuel Coogan
We study the problem of refining satisfiability bounds for partially-known stochastic systems against planning specifications defined using syntactically co-safe Linear Temporal Logic (scLTL).
1 code implementation • 23 Oct 2021 • Abdulaziz Shamsah, Zhaoyuan Gu, Jonas Warnke, Seth Hutchinson, Ye Zhao
This study proposes a hierarchically integrated framework for safe task and motion planning (TAMP) of bipedal locomotion in a partially observable environment with dynamic obstacles and uneven terrain.
no code implementations • 16 Sep 2021 • Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao
Recent advancement in combining trajectory optimization with function approximation (especially neural networks) shows promise in learning complex control policies for diverse tasks in robot systems.
no code implementations • 20 Aug 2021 • Suphanut Jamonnak, Ye Zhao, Xinyi Huang, Md Amiruzzaman
The visual study is seamlessly integrated with the geographical environment by combining DL model performance with geospatial visualization techniques.
1 code implementation • 21 Oct 2020 • Zhigen Zhao, Ziyi Zhou, Michael Park, Ye Zhao
This study proposes a Task and Motion Planning (TAMP) method with symbolic decisions embedded in a bilevel optimization.
Robotics
1 code implementation • 25 Sep 2020 • Luke Drnach, Ye Zhao
In this study, we model uncertainty stemming from the terrain and design corresponding risk-sensitive objectives under the framework of contact-implicit trajectory optimization.
Robotics Systems and Control Systems and Control
no code implementations • 3 Sep 2020 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images.
no code implementations • 10 Oct 2019 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes in x-ray scattering images.
no code implementations • 1 Aug 2019 • Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, Mingliang Xu
Visual querying is essential for interactively exploring massive trajectory data.