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Physical Human-Robot Interaction (pHRI)

ETH Summer School on Soft Robotics

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1st Swiss rtfMRI Neurofeedback Conference

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November 2012
Kaspar Leuenberger presents his PhD project at the ETH Tag.

April 2012
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March 2012
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RELab present at the BrainFair Zurich 2012.

February 2012
RELab hosts the 1st Swiss rtfMRI Neurofeedback Conference with over 150 participants.

September 2011
We welcome Auralius Manurung, who joins us from the Gyeongsang National University, South Korea.

July 2011
Marie-Christine Fluet receives the Best Poster Award at the 2011 International Conference on Rehabilitation Robotics (ICORR 2011)

June 2011
RELab featured on ETH Life

More news...

Since the fall semester 2011, the Rehabilitation Engineering Lab is offering a new course on Physical Human-Robot Interaction. The weekly 2h lecture, covering topics such as human factors, sensing, data acquisition, actuation, modeling control and safety/performance analysis, is complemented by weekly 2h laboratory sessions and a specialization project.

The concept of this course is described in detail in Gassert et al., IEEE Trans Educ 56(1), 2013.

Course Goal

The goal of this course is for students to understand the critical elements in human-robot interactions – both in terms of engineering and human factors – and use these to evaluate and design safe and efficient assistive and rehabilitative robotic systems.

Laboratory Sessions

Laboratory sessions are carried out on the ETHZ Haptic Paddle, a low-cost force-feedback device based on the open hardware haptic paddle successfully used at universities throughout the US.

Course Description

This link will take you to the page of the Physical Human-Robot Interaction course on the ETHZ Vorlesungsverzeichnis.

Overview of the pHRI course:
Week Lecture (2h) Lab (2h) Hand-out/in
1 Introduction and guest lecture Application examples and demos List of specialization projects
2 Human factors Explore haptic illusions Questionnaire
3 Sensing Introduction to visual programing LabView tutorial
4
Data acquisition and
real-time signal processing
Lab 1
  • signal acquisition
  • filter design
  • output control (motor current)
-
5 Actuation and motor control
in pHRI
Lab 1 (cont.) MATLAB plots
  • raw/filtered pos., vel., acc.
  • sensor characterization
  • voltage/current, current/torque
6 Kinematics, transmissions,
sensor colocation
Lab visit -
7 Basic modeling and
electromechanical analogy
Lab 2
  • modeling in MATLAB/Simulink
  • PID controller
-
8 Basic control Lab 2 (cont.) MATLAB plots
  • step/ramp/sinus response
  • simulated vs plant response
9 Advanced modeling (friction
identification and modeling)
Lab 3
  • system identification (friction)
  • model-based feedforward
  • spring/damper model, virtual wall
-
10 Interaction control (rendering
of rigid contact)
Lab 3 (cont.) MATLAB plots
  • friction/velocity
  • friction model parameter estimation
  • step response with feedforward, K-B plot
11 Performance metrics Lab 4
Specialization projects
-
12 Safety analysis and methods
to minimize risk and injury
Lab 4 (cont.) -
13 Applications in rehabilitation
and assistive technology
Prepare presentation -
14 Student presentations Specialization project demos Data, plots/figures and slides


Specialization projects offered to students in groups of two:
Specialization project Hardware variations Supervisor  
1) Effect of quantization and discretization on virtual wall rendering optical encoder on motor shaft and PCI DAQ card Bogdan Vigaru (vigarub@ethz.ch)  
2) Velocity measurement tachometer on motor shaft Bogdan Vigaru (vigarub@ethz.ch)  
3) Velocity estimation from hall sensor using Levant’s
differentiator and discrete-time adaptive windowing
  Jean-Claude Metzger (jemetzge@ethz.ch)  
4) Haptic/VR needle insertion simulation with multiple tissue layers   Werner Popp (poppw@ethz.ch)  
5) Teleoperation between two haptic paddles (2 groups) PCI DAQ card Werner Popp (poppw@ethz.ch)  
6) Impedance control with force feedback force sensor integrated in paddle Jean-Claude Metzger (jemetzge@ethz.ch)  
7) Admittance control force sensor integrated in paddle, tachometer
on motor shaft and linear power amplifier in
velocity mode
Jean-Claude Metzger (jemetzge@ethz.ch)  
8) Identification of output impedance force sensor integrated in paddle Jean-Claude Metzger (jemetzge@ethz.ch)  
9) Electromyographic (EMG) control custom EMG amplifier and electrodes Werner Popp (poppw@ethz.ch)  
10) Psychophysical study to determine human perception thresholds   Yeongmi Kim (ykim@ethz.ch)  
11) Identification of finger impedance force sensor integrated in paddle Roger Gassert (gassertr@ethz.ch)  

Course Notes and Material

Lecture slides, related publications and material for the specialization projects can be found on Ilias via MyStudies or by following this link:

https://ilias-app2.let.ethz.ch/goto.php?target=crs_35401&client_id=ilias_lda

 

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