activity
20172024
most citedSocial Interactions for Autonomous Driving: A Review and Perspectives

159 citations · 492 across the 75 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.RO2018★ 4 cited

Human Motion Prediction using Semi-adaptable Neural Networks

Yujiao Cheng, Weiye Zhao, Changliu Liu +1

Human motion prediction is an important component to facilitate human robot interaction. Robots need to accurately predict human's future movement in order to safely plan its own m…

cs.RO2018★ 15 cited

SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots

Changliu Liu, Te Tang, Hsien-Chung Lin +2

Human-robot collaborations have been recognized as an essential component for future factories. It remains challenging to properly design the behavior of those co-robots. Those rob…

cs.RO2018★ 9 cited

Robot Safe Interaction System for Intelligent Industrial Co-Robots

Changliu Liu, Masayoshi Tomizuka

Human-robot interactions have been recognized to be a key element of future industrial collaborative robots (co-robots). Unlike traditional robots that work in structured and deter…

cs.MA2018★ 3 cited

Analyzing Traffic Delay at Unmanaged Intersections

Changliu Liu, Mykel J. Kochenderfer

At an unmanaged intersection, it is important to understand how much traffic delay may be caused as a result of microscopic vehicle interactions. Conventional traffic simulations t…

cs.MA2018★ 1 cited

Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions

Changliu Liu, Mykel J. Kochenderfer

With the emergence of autonomous vehicles, it is important to understand their impact on the transportation system. However, conventional traffic simulations are time-consuming. In…