198 citations · 427 across the 11 of their papers we have counts for
5 papers · 1 filter
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction
Trung Hoang Le, Huiping Cao, Tran Cao Son
A plethora of approaches have been proposed for joint entity-relation (ER) extraction. Most of these methods largely depend on a large amount of manually annotated training data. H…
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
Hongpeng Cao, Yanbing Mao, Lui Sha +1
This paper proposes the Phy-DRL: a physics-regulated deep reinforcement learning (DRL) framework for safety-critical autonomous systems. The Phy-DRL has three distinguished invaria…
Physical Deep Reinforcement Learning Towards Safety Guarantee
Hongpeng Cao, Yanbing Mao, Lui Sha +1
Deep reinforcement learning (DRL) has achieved tremendous success in many complex decision-making tasks of autonomous systems with high-dimensional state and/or action spaces. Howe…
Flexible Gear Assembly With Visual Servoing and Force Feedback
Junjie Ming, Daniel Bargmann, Hongpeng Cao +1
Gear assembly is an essential but challenging task in industrial automation. This paper presents a novel two-stage approach for achieving high-precision and flexible gear assembly.…
Parallel random LiDAR with spatial multiplexing of a many-mode laser
Kyungduk Kim, Yaniv Eliezer, Olivier Spitz +1
We propose and experimentally demonstrate parallel LiDAR using random intensity fluctuations from a highly multimode laser. We optimize a degenerate cavity to have many spatial mod…