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20162021
most citedLifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

260 citations · 1.4k across the 56 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.RO2017★ 1 cited

RRT* Combined with GVO for Real-time Nonholonomic Robot Navigation in Dynamic Environment

Yuying Chen, Ming Liu

Challenges persist in nonholonomic robot navigation in dynamic environments. This paper presents a framework for such navigation based on the model of generalized velocity obstacle…

cs.RO2017

Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

Lei Tai, Jingwei Zhang, Ming Liu +1

We present an approach for mobile robots to learn to navigate in dynamic environments with pedestrians via raw depth inputs, in a socially compliant manner. To achieve this, we ado…

cs.RO2017★ 2 cited

Characterization of a RS-LiDAR for 3D Perception

Zhe Wang, Yang Liu, Qinghai Liao +3

High precision 3D LiDARs are still expensive and hard to acquire. This paper presents the characteristics of RS-LiDAR, a model of low-cost LiDAR with sufficient supplies, in compar…

cs.CV2017★ 7 cited

Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention

Qinghai Liao, Ming Liu, Lei Tai +1

Fusion of heterogeneous extroceptive sensors is the most effient and effective way to representing the environment precisely, as it overcomes various defects of each homogeneous se…

cs.RO2017★ 99 cited

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

Lei Tai, Giuseppe Paolo, Ming Liu

We present a learning-based mapless motion planner by taking the sparse 10-dimensional range findings and the target position with respect to the mobile robot coordinate frame as i…