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Daniel Thalmann

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Object Grasping of Humanoid Robot Based on YOLO

Daniel Thalmann

This paper presents a system that aims to achieve autonomous grasping for micro-controller based humanoid robots such as the Inmoov robot [1]. The system consists of a visual sensor, a central controller and a manipulator. We modify the open sourced object ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Editorial Issue 30.6

Daniel Thalmann

WILEY2019

Design of a Highly Biomimetic and Fully-Actuated Robotic Finger

Daniel Thalmann

During design a mechanical structure such as a robotic finger, modeling parts and designing joints are two time-consuming steps. This paper presents a method for design and fabrication of a humanoid robotic finger that intends to mimic the human finger in ...

IEEE2019

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot

Daniel Thalmann, Jing Liu

It is often desirable for humanoid robots to have dexterous hands and perform human-like grasps. This requires a deliberate design of hands, in addition to a good actuation system and an efficient 3D vision system. In this paper, we present a simple method ...

IEEE2019

Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures

Daniel Thalmann, Hui Liang, Jun Lee

Vision-based hand pose estimation is important in human-computer interaction. While many recent works focus on full degree-of-freedom hand pose estimation, robust estimation of global hand pose remains a challenging problem. This paper presents a novel alg ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Editorial

Daniel Thalmann

WILEY2019

Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Daniel Thalmann, Hui Liang

In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for 3D hand pose estimation due to th ...

IEEE COMPUTER SOC2019

Robust 3D Hand Pose Estimation From Single Depth Images Using Multi-View CNNs

Daniel Thalmann

2018

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Daniel Thalmann

Graph Chatbot

Editorial Issue 31.6

Editorial issue 31.2

Object Grasping of Humanoid Robot Based on YOLO

Editorial Issue 30.6

Design of a Highly Biomimetic and Fully-Actuated Robotic Finger

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot

Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures

Editorial

Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Robust 3D Hand Pose Estimation From Single Depth Images Using Multi-View CNNs

Editorial Issue 31.6

Design of a Flexible Articulated Robotic Hand for a Humanoid Robot

Object Grasping of Humanoid Robot Based on YOLO

Editorial issue 31.2

Editorial Issue 30.6

Design of a Highly Biomimetic and Fully-Actuated Robotic Finger

Hough Forest With Optimized Leaves for Global Hand Pose Estimation With Arbitrary Postures

Editorial

Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks

Robust 3D Hand Pose Estimation From Single Depth Images Using Multi-View CNNs