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20192024
most citedEnhance Connectivity of Promising Regions for Sampling-based Path Planning

17 citations · 34 across the 10 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.RO2021★ 17 cited

Enhance Connectivity of Promising Regions for Sampling-based Path Planning

Han Ma, Chenming Li, Jianbang Liu +2

Sampling-based path planning algorithms usually implement uniform sampling methods to search the state space. However, uniform sampling may lead to unnecessary exploration in many…

cs.RO2021

RASEC: Rescaling Acquisition Strategy with Energy Constraints under SE-OU Fusion Kernel for Active Trachea Palpation and Incision Recommendation in Laryngeal Region

Wenchao Yue, Fan Bai, Jianbang Liu +4

A novel palpation-based incision detection strategy in the laryngeal region, potentially for robotic tracheotomy, is proposed in this letter. A tactile sensor is introduced to meas…

cs.RO2021★ 3 cited

A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving

Jianbang Liu, Xinyu Mao, Yuqi Fang +2

With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intelligent perception and planning systems. Self-driving…

cs.RO2021★ 1 cited

Learning-based Fast Path Planning in Complex Environments

Jianbang Liu, Baopu Li, Tingguang Li +3

In this paper, we present a novel path planning algorithm to achieve fast path planning in complex environments. Most existing path planning algorithms are difficult to quickly fin…

cs.RO2021★ 6 cited

Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search

Fan Bai, Fei Meng, Jianbang Liu +2

Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping. It needs…

cs.CV2021★ 4 cited

A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

Jianbang Liu, Yuqi Fang, Delong Zhu +3

Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention, since they can substitute human workers…