12 citations · 73 across the 14 of their papers we have counts for
9 papers · 1 filter
NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection
Ruihao Zhou, Li He, Hong Zhang +2
Loop closure detection is a key technology for long-term robot navigation in complex environments. In this paper, we present a global descriptor, named Normal Distribution Descript…
Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker
Hanjing Ye, Guangcheng Chen, Weinan Chen +3
2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in indoor environments due to its stability and flexibility. However, its mapping procedure is usually operated…
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…
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…
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…
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…