36 citations · 116 across the 14 of their papers we have counts for
14 papers
Hyperparameter Auto-tuning in Self-Supervised Robotic Learning
Jiancong Huang, Juan Rojas, Matthieu Zimmer +3
Policy optimization in reinforcement learning requires the selection of numerous hyperparameters across different environments. Fixing them incorrectly may negatively impact optimi…
Pose-based Modular Network for Human-Object Interaction Detection
Zhijun Liang, Junfa Liu, Yisheng Guan +1
Human-object interaction(HOI) detection is a critical task in scene understanding. The goal is to infer the triplet <subject, predicate, object> in a scene. In this work, we note t…
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Junfa Liu, Juan Rojas, Zhijun Liang +2
Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D pose estimation. Previous methods have focused on either temporal contexts or local-to-global arch…
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
Zhijun Liang, Juan Rojas, Junfa Liu +1
In scene understanding, robotics benefit from not only detecting individual scene instances but also from learning their possible interactions. Human-Object Interaction (HOI) Detec…
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +2
Deep reinforcement learning (DRL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. We…
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +3
Deep Reinforcement Learning (RL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. To a…
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies
Hongmin Wu, Shuangqi Luo, Longxin Chen +5
Robot manipulation is increasingly poised to interact with humans in co-shared workspaces. Despite increasingly robust manipulation and control algorithms, failure modes continue t…
Dynamic Interaction Probabilistic Movement Primitives
Shuangda Duan, Longxin Chen, Hongmin Wu +3
Human-robot collaboration is on the rise. Robots need to increasingly improve the efficiency and smoothness with which they assist humans by properly anticipating a human's intenti…
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…
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…
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…
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…
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…
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…