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Yiwei Liu 0001

dblp:18/6499-1 · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0001-5260-8315ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7Systems, architecture and hardware · 6Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Robot manipulation · 68% Motion planning and robot control · 32%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 77% Embedded and real-time systems · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping
multifingered hand
0.122004
High Performance DSP/FPGA Controller for Implementation of HIT/DLR Dexterous Robot Hand · ICRA 2004
The HIT/DLR dexterous hand: work in progress · ICRA 2003
Robotics › Motion planning and robot control
robot control
0.122004
High Performance DSP/FPGA Controller for Implementation of HIT/DLR Dexterous Robot Hand · ICRA 2004
The HIT/DLR dexterous hand: work in progress · ICRA 2003
Reconfigurable computing and FPGAs › FPGA-based embedded system
FPGA-based control
0.012004
High Performance DSP/FPGA Controller for Implementation of HIT/DLR Dexterous Robot Hand · ICRA 2004
Robotics › Robot manipulation
dexterous manipulation
0.012003
The HIT/DLR dexterous hand: work in progress · ICRA 2003
Embedded and real-time systems
real-time control
0.012004
High Performance DSP/FPGA Controller for Implementation of HIT/DLR Dexterous Robot Hand · ICRA 2004

Methods — techniques the papers use, named apart from their topics

hierarchical software architecture · 0.1DSP/FPGA controller · 0.1DSP-based control · 0.0
YearPublicationVenuePosition
2010 Progress in the biomechatronic design and control of a hand prosthesis
abstract
A five-fingered, multi-sensory biomechatronic hand with sEMG interface is presented. The cambered palm is specially designed to enhance the stability while grasping. The location of the thumb is designed by maximizing interaction area between the thumb and other fingers. The opposite thumb could grasp along a cone surface, while maintaining its function. By taken the advantage of coupling linkage mechanism, each finger with three phalanges could fulfill flexion-extension movement independently. Besides, each finger is equipped with torque and position sensors. Thus, the cosmetics and dexterity are improved remarkably compared to conventional prosthesis. The hardware architecture is divided into control system and EMG signal processing system. Moreover, a novel two-stage decision strategy combing the position-based impedance control scheme is implemented to realize the real-time sEMG control of the hand. According to the grasp experiment results, the hand can accomplish several grasp modes stably; the success rate of 10 modes is up to 90%.
Xinqing Wang, Yiwei Liu 0001, Dapeng Yang 0001, Nan Li 0068, Li Jiang 0001, Hong Liu 0002
IROS2
2008 Multisensory five-finger dexterous hand: The DLR/HIT Hand II
abstract
This paper presents a new developed multisensory five-fingered dexterous robot hand: the DLR/HIT Hand II. The hand has an independent palm and five identical modular fingers, each finger has three DOFs and four joints. All the actuators and electronics are integrated in the finger body and the palm. By using powerful super flat brushless DC motors, tiny harmonic drivers and BGA form DSPs and FPGAs, the whole fingerpsilas size is about one third smaller than the former finger in the DLR/HIT Hand I. By using the steel coupling mechanism, the phalanx distalpsilas transmission ratio is exact 1:1 in the whole movement range. At the same time, the multisensory dexterous hand integrates position, force/torque and temperature sensors. The hierarchical hardware structure of the hand consists of the finger DSPs, the finger FPGAs, the palm FPGA and the PCI based DSP/FPGA board. The hand can communicate with external with PPSeCo, CAN and Internet. Instead of extra cover, the packing mechanism of the hand is implemented directly in the finger body and palm to make the hand smaller and more human like. The whole weight of the hand is about 1.5Kg and the fingertip force can reach 10N.
Hong Liu 0002, Peter Meusel, Nikolaus Seitz, Gerd Hirzinger, Ming-He Jin, Yiwei Liu 0001, Shaowei Fan, T. Lan, Zhaopeng Chen
IROS7
2008 An improved algorithm of measuring extravehicular mobility unit (EMU) spacesuit joint damping parameters for the old passive robot system
abstract
In this paper, an improved algorithm to measure Chinapsilas EMU spacesuit joint damping parameters for the old passive robot system is presented. The measuring principle is based on robot kinematics and dynamics. Firstly, a kinematic model of the passive robot and the EMU spacesuitpsilas arm is built according to the special mechanical structure. Secondly, improved methods of solving the inverse kinematics of the EMU spacesuit arm including flexible joints are proposed. And finally, a new algorithm that eliminates the gravity effect is implemented to calculate the damping torques of the EMU spacesuit joints. Experimental results and verification on SGI workstation proved the correctness and effectiveness of the proposed measuring method.
Jingdong Zhao, Yiwei Liu 0001, Hegao Cai, Hong Liu 0002
IROS2
2008 A dexterous humanoid five-fingered robotic hand
abstract
This paper presents a new developed multisensory five-fingered dexterous robot hand : the DLR/HIT Hand II. The hand has an independent palm and five identical modular fingers, each finger has three DOFs and four joints. All the actuators and electronics are integrated in the finger body and the palm. By using powerful super flat brushless DC motors, tiny harmonic drives and BGA form DSPs and FPGAs, the whole fingerpsilas size is about one third smaller than the former finger in the DLR/HIT Hand I. By using the steel coupling mechanism, the phalanx distalpsilas transmission ratio is exact 1:1 in the whole movement range. At the same time, the multisensory dexterous hand integrates position, force/torque and temperature sensors. The hierarchical hardware structure of the hand consists of the finger DSPs, the finger FPGAs, the palm FPGA and the PCI based DSP/FPGA board. The hand can communicate with external with PPSeCo , CAN and Internet. Instead of extra cover, the packing mechanism of the hand is implemented directly in the finger body and palm to make the hand smaller and more human like. The whole weight of the hand is about 1.5 Kg and the fingertip force can reach 10N.
Hong Liu 0002, Peter Meusel, Gerd Hirzinger, Ming-He Jin, Yiwei Liu 0001, Shaowei Fan, T. Lan, Zhaopeng Chen
RO-MAN6
2005 FPGA based hardware architecture for HIT/DLR hand
abstract
In this paper, FPGA (field programmable gate array) based hardware architecture for the HIT/DLR hand has been investigated. With the FPGAs for lower level control and DSP (digital signal processor) for higher level control, the whole hardware is very intelligent. By using the high capacity of FPGAs, the additional hardware such as communication controller and PWM generators, can be implemented in a single chip and the hardware system is more flexible and compact. In each finger there is an FPGA for data collection, brushless DC motors control and communication with palm's FPGA by point-to-point serial communication (PPSeCo). The kernel of the hardware system is a PCI-based high speed floating-point DSP for data processing, and FPGA for high-speed (up to 25Mbps) real-time serial communication with the palm's FPGA. There needs only 4 cables for the data transmission and the sampling cycle for each sensor is only 200 /spl mu/s. This paper presents the basic ideas behind the HIT/DLR hand's hard- and software architecture adapted to new needs in data processing.
X. H. Gao, Ming-He Jin, Yiwei Liu 0001, Hong Liu 0002, Nikolaus Seitz, Robin Gruber, Gerd Hirzinger
IROS4
2004 High Performance DSP/FPGA Controller for Implementation of HIT/DLR Dexterous Robot Hand
abstract
The paper presents hardware and software architectures of the HIT/DLR Hand. The hand has four identical fingers and an extra degree of freedom (d.o.f) for the palm. In each finger, there is a re-configurable Field Programmable Gate Array (FPGA) for data acquisition, Brushless DC (BLDC) motor control and communication with the palm's FPGA by Point-to-Point Serial Communication (PPSeCo). The kernel of the hardware system is a PCI-based high speed floating-point Digital Signal Processor (DSP) for data processing, and an FPGA for high speed (up to 25 Mbps) real-time serial communication with the palm's FPGA. In order to achieve high modularity and reliability of the hand, a fully mechatronic integration and analog signals in-situ digitalization philosophy are implemented to minimize the dimension, number of the cables (5 cables including power supply) and protect data communication from outside disturbances. Furthermore, according to the hardware architecture of the hand, a hierarchical software architecture has been established to perform all data processing and control of the hand. The software structure provides basic Application Programming Interface (API) functions and skills to access all hardware resources for data acquisition, computation and teleoperation.
Ming-He Jin, Yiwei Liu 0001, Hegao Cai, Hong Liu 0002, Nikolaus Seitz, Jörg Butterfaß, Gerd Hirzinger
ICRA5
2003 The HIT/DLR dexterous hand: work in progress
abstract
This paper presents the current work progress of HIT/DLR Dexterous Hand. Based on the technology of DLR Hand II, HIT and DLR are jointly developing a smaller and easier manufactured robot hand. The prototype of one finger has been successfully built. The finger has three DOF and four joints, the last two joints are mechanically coupled by a rigid linkage. All the actuators are commercial brushless DC motors with integrated analog Hall sensors. DSP based control system is implemented in PCI bus architecture and the serial communication between the hand and DSP needs only 6 lines(4 lines power supply and 2 lines communication interface). The fingertip force can reach 10N.
X. H. Gao, Ming-He Jin, Li Jiang 0001, Zongwu Xie, Yiwei Liu 0001, Hegao Cai, Hong Liu 0002, Jörg Butterfaß, Markus Grebenstein, Nikolaus Seitz, Gerd Hirzinger
ICRA7