99 citations · 114 across the 7 of their papers we have counts for
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cs.RO2017★ 6 cited
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
Giuseppe Paolo, Lei Tai, Ming Liu
In this paper we focus on developing a control algorithm for multi-terrain tracked robots with flippers using a reinforcement learning (RL) approach. The work is based on the deep…
cs.RO2017
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments
Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer +3
This paper reports on a data-driven, interaction-aware motion prediction approach for pedestrians in environments cluttered with static obstacles. When navigating in such workspace…
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…