activity
20172020
most citedInvariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

36 citations · 116 across the 14 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

cs.RO2017

Fast, Robust, and Versatile Event Detection through HMM Belief State Gradient Measures

Shuangqi Luo, Hongmin Wu, Hongbin Lin +3

Event detection is a critical feature in data-driven systems as it assists with the identification of nominal and anomalous behavior. Event detection is increasingly relevant in ro…

cs.RO2017★ 10 cited

Learning Human-Robot Collaboration Insights through the Integration of Muscle Activity in Interaction Motion Models

Longxin Chen, Juan Rojas, Shuangda Duan +1

Recent progress in human-robot collaboration makes fast and fluid interactions possible, even when human observations are partial and occluded. Methods like Interaction Probabilist…

cs.RO2017★ 6 cited

Recovering from External Disturbances in Online Manipulation through State-Dependent Revertive Recovery Policies

Hongmin Wu, Hongbin Lin, Shuangqi Luo +3

Robots are increasingly entering uncertain and unstructured environments. Within these, robots are bound to face unexpected external disturbances like accidental human or tool coll…

cs.RO2017★ 11 cited

Robot Introspection with Bayesian Nonparametric Vector Autoregressive Hidden Markov Models

Hongmin Wu, Hongbin Lin, Yisheng Guan +2

Robot introspection, as opposed to anomaly detection typical in process monitoring, helps a robot understand what it is doing at all times. A robot should be able to identify its a…

cs.RO2017★ 7 cited

A Vision-based Scheme for Kinematic Model Construction of Re-configurable Modular Robots

Kewei Lin, Juan Rojas, Yisheng Guan

Re-configurable modular robotic (RMR) systems are advantageous for their reconfigurability and versatility. A new modular robot can be built for a specific task by using modules as…

cs.RO2017★ 3 cited

A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images

Ruotao He, Juan Rojas, Yisheng Guan

3D object detection and pose estimation has been studied extensively in recent decades for its potential applications in robotics. However, there still remains challenges when we a…