5 citations · 5 across the 5 of their papers we have counts for
5 papers
Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous Environment
Shuhao Ye, Sitong Mao, Yuxiang Cui +7
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an agent to follow natural language instructions through unseen environments. Existing imitation learning (I…
ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments
Shuhao Ye, Sitong Mao, Yuxiang Cui +6
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to navigate towards target in continuous environments, following natural language instruct…
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Haoyu Yang, Wen Chen, Piyush Pathak +3
Machine learning-based lithography hotspot detection has been deeply studied recently, from varies feature extraction techniques to efficient learning models. It has been observed…
Modelling and Dynamic Tracking Control of Industrial Vehicles with Tractor-trailer Structure
Hongchao Zhao, Zhe Liu, Zhiqiang Li +4
Existing works on control of tractor-trailers systems only consider the kinematics model without taking dynamics into account. Also, most of them treat the issue as a pure control…
SeqLPD: Sequence Matching Enhanced Loop-Closure Detection Based on Large-Scale Point Cloud Description for Self-Driving Vehicles
Zhe Liu, Chuanzhe Suo, Shunbo Zhou +4
Place recognition and loop-closure detection are main challenges in the localization, mapping and navigation tasks of self-driving vehicles. In this paper, we solve the loop-closur…