Outputs (19)

A teleoperation framework for mobile robots based on shared control (2019)
Journal Article

Mobile robots can complete a task in cooperation with a human partner. In this letter, a hybrid shared control method for a mobile robot with omnidirectional wheels is proposed. A human partner utilizes a six degrees of freedom haptic device and elec... Read More about A teleoperation framework for mobile robots based on shared control.

Robotic grasp detection based on image processing and random forest (2019)
Journal Article

© 2019, The Author(s). Real-time grasp detection plays a key role in manipulation, and it is also a complex task, especially for detecting how to grasp novel objects. This paper proposes a very quick and accurate approach to detect robotic grasps. Th... Read More about Robotic grasp detection based on image processing and random forest.

Physical human-robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators (2019)
Journal Article

This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and collaborative strategies for physical human-robot collaboration (pHRC). This article starts with an overview of some robotic systems with cutting-edge tec... Read More about Physical human-robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators.

Bayesian estimation of human impedance and motion intention for human-robot collaboration (2019)
Journal Article

This article proposes a Bayesian method to acquire the estimation of human impedance and motion intention in a human-robot collaborative task. Combining with the prior knowledge of human stiffness, estimated stiffness obeying Gaussian distribution is... Read More about Bayesian estimation of human impedance and motion intention for human-robot collaboration.

A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller (2019)
Journal Article

© 2019 Elsevier B.V. Robot learning from demonstration (LfD) enables robots to be fast programmed. This paper presents a novel LfD framework involving a teaching phase, a learning phase and a reproduction phase, and proposes methods in each of these... Read More about A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller.

Neural network enhanced robot tool identification and calibration for bilateral teleoperation (2019)
Journal Article

© 2013 IEEE. In teleoperated surgery, the transmission of force feedback from the remote environment to the surgeon at the local site requires the availability of reliable force information in the system. In general, a force sensor is mounted between... Read More about Neural network enhanced robot tool identification and calibration for bilateral teleoperation.

A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone (2019)
Journal Article

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. As a significant role in healthcare and sports applications, human activity recognition (HAR) techniques are capable of monitoring humans’ daily behavior. It has spurred the demand for intelli... Read More about A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone.

Deep neural network approach in human-like redundancy optimization for anthropomorphic manipulators (2019)
Journal Article

© 2013 IEEE. Human-like behavior has emerged in the robotics area for improving the quality of Human-Robot Interaction (HRI). For the human-like behavior imitation, the kinematic mapping between a human arm and robot manipulator is one of the popular... Read More about Deep neural network approach in human-like redundancy optimization for anthropomorphic manipulators.

MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments (2019)
Journal Article

© 2019 Elsevier Ltd This paper presents a novel three-dimension (3-D) underwater trajectory tracking method for an autonomous underwater vehicle (AUV) using model predictive control (MPC). First, the 6-degrees of freedom (DoF) model of a fully-actuat... Read More about MPC-based 3-D trajectory tracking for an autonomous underwater vehicle with constraints in complex ocean environments.

Bio-inspired approach for long-range underwater navigation using model predictive control (2019)
Journal Article

Lots of evidence has indicated that many kinds of animals can achieve goal-oriented navigation by spatial cognition and dead reckoning. The geomagnetic field (GF) is a ubiquitous cue for navigation by these animals. Inspired by the goal-oriented navi... Read More about Bio-inspired approach for long-range underwater navigation using model predictive control.