no code implementations • 20 Apr 2024 • Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
Conventional approaches to enhancing movement coordination, such as providing instructions and visual feedback, are often inadequate in complex motor tasks with multiple degrees of freedom (DoFs).
no code implementations • 21 Jan 2024 • Xinda Qi, Dong Chen, Zhaojian Li, Xiaobo Tan
In this paper, we propose a novel technique, Back-stepping Experience Replay (BER), that is compatible with arbitrary off-policy reinforcement learning (RL) algorithms.
1 code implementation • 24 May 2023 • Jiajia Li, Dong Chen, Xinda Qi, Zhaojian Li, Yanbo Huang, Daniel Morris, Xiaobo Tan
In addition, a systematic review of various agricultural applications exploiting these label-efficient algorithms, such as precision agriculture, plant phenotyping, and postharvest quality assessment, is presented.
no code implementations • 6 Feb 2022 • Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava
Designing effective rehabilitation strategies for upper extremities, particularly hands and fingers, warrants the need for a computational model of human motor learning.
no code implementations • 12 Oct 2020 • Giorgos Mamakoukas, Maria L. Castano, Xiaobo Tan, Todd D. Murphey
This paper presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms of the prediction horizon and the magnitude of the derivatives of the system states.
no code implementations • 18 May 2020 • Lai Wei, Xiaobo Tan, Vaibhav Srivastava
Based on the sensing model, we design a novel algorithm called Expedited Multi-Target Search (EMTS) that (i) addresses the coverage-accuracy trade-off: sampling at locations farther from the floor provides wider field of view but less accurate measurements, (ii) computes an occupancy map of the floor within a prescribed accuracy and quickly eliminates unoccupied regions from the search space, and (iii) travels efficiently to collect the required samples for target detection.