9 citations · 39 across the 16 of their papers we have counts for
16 papers
The Use of Gaze-Derived Confidence of Inferred Operator Intent in Adjusting Safety-Conscious Haptic Assistance
Jeremy D. Webb, Michael Bowman, Songpo Li +1
Humans directly completing tasks in dangerous or hazardous conditions is not always possible where these tasks are increasingly be performed remotely by teleoperated robots. Howeve…
Confidence-aware 3D Gaze Estimation and Evaluation Metric
Qiaojie Zheng, Xiaoli Zhang
Deep learning appearance-based 3D gaze estimation is gaining popularity due to its minimal hardware requirements and being free of constraint. Unreliable and overconfident inferenc…
Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation
Matthew Stanley, Yunsik Jung, Michael Bowman +2
Although data-driven motion mapping methods are promising to allow intuitive robot control and teleoperation that generate human-like robot movement, they normally require tedious…
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman +1
In-hand manipulation is challenging for a multi-finger robotic hand due to its high degrees of freedom and the complex interaction with the object. To enable in-hand manipulation,…
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping
Yunsik Jung, Lingfeng Tao, Michael Bowman +2
Learning-based grasping can afford real-time grasp motion planning of multi-fingered robotics hands thanks to its high computational efficiency. However, learning-based methods are…
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum
Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang
Dexterous manipulation tasks usually have multiple objectives, and the priorities of these objectives may vary at different phases of a manipulation task. Varying priority makes a…
Forming Real-World Human-Robot Cooperation for Tasks With General Goal
Lingfeng Tao, Michael Bowman, Jiucai Zhang +1
In human-robot cooperation, the robot cooperates with humans to accomplish the task together. Existing approaches assume the human has a specific goal during the cooperation, and t…
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning
Michael Bowman, Songpo Li, Xiaoli Zhang
In teleoperation, research has mainly focused on target approaching, where we deal with the more challenging object manipulation task by advancing the shared control technique. App…
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
Songpo Li, Michael Bowman, Xiaoli Zhang
Shared control in teleoperation leverages both human and robot's strengths and has demonstrated great advantages of reducing the difficulties in teleoperating a robot and increasin…
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
Lingfeng Tao, Michael Bowman, Xu Zhou +2
Enabling robots to provide effective assistance yet still accommodating the operator's commands for telemanipulation of an object is very challenging because robot's assistive acti…
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration
Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi +3
Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step proces…
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation
Lingfeng Tao, Michael Bowman, Jiucai Zhang +1
Applying Deep Reinforcement Learning (DRL) to Human-Robot Cooperation (HRC) in dynamic control problems is promising yet challenging as the robot needs to learn the dynamics of the…
A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation
Rui Liu, Xiaoli Zhang
Natural-language-facilitated human-robot cooperation (NLC) refers to using natural language (NL) to facilitate interactive information sharing and task executions with a common goa…
Systems of natural-language-facilitated human-robot cooperation: A review
Rui Liu, Xiaoli Zhang
Natural-language-facilitated human-robot cooperation (NLC), in which natural language (NL) is used to share knowledge between a human and a robot for conducting intuitive human-rob…
Stabilization and Trajectory Control of a Quadrotor with Uncertain Suspended Load
Xu Zhou, Xiaoli Zhang, Jiucai Zhang +1
Stabilization and trajectory control of a quadrotor carrying a suspended load with a fixed known mass has been extensively studied in recent years. However, the load mass is not al…
Generating machine-executable plans from end-user's natural-language instructions
Rui Liu, Xiaoli Zhang
It is critical for advanced manufacturing machines to autonomously execute a task by following an end-user's natural language (NL) instructions. However, NL instructions are usuall…