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Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

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<strong>Session</strong> WedDT2 Fenix 2 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 14:00–15:00<br />

Physical Human-Robot Interaction III<br />

Chair Chris Melhuish, BRL<br />

Co-Chair Alessandro De Luca, Univ. di Roma<br />

14:00–14:15 WedDT2.1<br />

Kinematic synthesis, optimization and<br />

analysis of a non-anthropomorphic 2-DOFs<br />

wearable orthosis for gait assistance<br />

Fabrizio Sergi<br />

MEMS Department, Rice University, USA<br />

Dino Accoto, Nevio Luigi Tagliamonte, Giorgio Carpino,<br />

Simone Galzerano, Eugenio Guglielmelli<br />

CIR, Università Campus Bio-Medico di Roma, Italy<br />

• AIM: This paper describes the optimization of<br />

a planar wearable active orthosis for hip and<br />

knee assistance during walking<br />

• METHODS: A systematic enumeration<br />

algorithm is used to derive the whole set of<br />

admissible solutions and optimization is<br />

carried out to reduce actuators torque<br />

requirements.<br />

• RESULTS: The optimized design allows to<br />

conveniently re-distribute mechanical power<br />

in the actuated joints and to modulate<br />

apparent inertia, relative to the<br />

anthropomorphic designs<br />

• CONCLUSIONS: This paper gives a first<br />

preliminary evidence of the advantages of a<br />

non-anthropomorphic design in terms of<br />

actuation requirements.<br />

Figure: (A) Optimized torque profiles<br />

required to robot actuators, vs. torques<br />

applied to human joints. (B) Validation<br />

of the position-control scheme for the<br />

optimized design, through both<br />

simulations and experiments<br />

14:30–14:45 WedDT2.3<br />

Counteracting Modeling Errors for Sensitive<br />

Observer-Based Manipulator Collision Detection<br />

Vahid Sotoudehnejad, Amir Takhmar,<br />

Mehrdad R. Kermani and Ilia G. Polushin<br />

Electrical and Computer Engineering, The University of Western Ontario,<br />

Canada<br />

• Modeling errors responsible for<br />

deficiencies in sensorless<br />

collision detection of robotic<br />

systems are studied.<br />

• A time-variant threshold for<br />

observer residues in joint space<br />

is presented for the purpose of<br />

collision detection.<br />

• Simulation results using real-life<br />

collision forces on PUMA 560<br />

and experiments on the<br />

Phantom Omni device show that<br />

the time-variant threshold works<br />

better than constant thresholds.<br />

A<br />

B<br />

14:15–14:30 WedDT2.2<br />

Investigation of Safety in HRI for a Series<br />

Elastic, Tendon-Driven Robot Arm<br />

Thomas Lens and Oskar von Stryk<br />

Department of Computer Science, Technische Universität Darmstadt, Germany<br />

• Elastic tendon actuation in all four joints of<br />

the BioRob arm reduces link weights to a<br />

minimum<br />

• Design enables end-effector velocities up<br />

to 7 m/s<br />

• Analytic worst case safety estimation of<br />

dynamic impact peak forces and static<br />

clamping forces<br />

• Experimental validation of maximum peak<br />

forces, maximum clamping forces, and<br />

danger potential of energy stored in the<br />

springs<br />

<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />

–152–<br />

Impact and clamping experiment<br />

with the BioRob-X4 arm.<br />

14:45–15:00 WedDT2.4<br />

When Shared Plans go Wrong: From Atomic- to<br />

Composite Actions and Back<br />

Alexander Lenz 1 , Stephane Lallee 2 , Sergey Skachek 1 ,<br />

Anthony G. Pipe 1 , Chris Melhuish 1 and Peter Ford Dominey 2<br />

1 Bristol Robotics Laboratory, Bristol, UK<br />

2 Stem Cell and Brain Research Institute, INSERM U846, Bron, France<br />

� HRI: cognitive system with composite actions, as a sequence of atomic<br />

actions.<br />

� Shared plans between human and robot (BERT2) consisting of<br />

composite actions.<br />

• Graceful recovery from 'behavioural faults' during shared plan execution<br />

guided by human using error codes.<br />

• Plan expansion into atomic action allows robot to skip or repeat<br />

interrupted atomic action.<br />

Human behaviour stops the execution of the shared plan: (a) human stop gesture;<br />

(b) human turns away from robot (lack of attention); (c) close human-robot proximity<br />

during robot motion.

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