Ph.D. in Bio-inspired Robotics and Sensing Applied to Remotely Operated Robotic Arms. [1 Attachment]
In recent years, significant advances were made in the field of bio-inspired
sensing (with application to robotics). Among other achievements, researchers
have managed to emulate the electric sensing capacities of weakly electric
fish. The developed technology was successfully applied to enhance unmanned
vehicles’ perception of their environment. The Bio-inspired Robotics Group at
IRCCyN has played a key role in such developments, in particular through the
European FET project Angels.
In recent years, significant advances were made in the field of bio-inspired
sensing (with application to robotics). Among other achievements, researchers
have managed to emulate the electric sensing capacities of weakly electric
fish. The developed technology was successfully applied to enhance unmanned
vehicles’ perception of their environment. The Bio-inspired Robotics Group at
IRCCyN has played a key role in such developments, in particular through the
European FET project Angels.
In parallel, the last decades have seen a rapid development of technologies
related to remotely operated robotics. The Interactive Robotics Laboratory
(LRI, part of CEA LIST) has been a prominent contributor to this field, in
particular through its work on remotely operated robotic arms. Applications of
interest involve manipulation in hostile environments, where the operator uses
a master arm (from a safe location) to remotely control movements of a slave
arm (operating in a hazardous environment).
Some of the more stringent limitations of remotely operated robotics technology
are directly linked to difficulties in providing the operator with a complete
and detailed representation of the remotely operated arm’s direct
environment. The offered research project proposes to transcend such
limitations through the use of novel, bio-inspired sensing modalities, in
particular that of the aforementioned electric sense. In practice, an active
electric sensor will be used to generate an electric field around the remotely
operated arm. Presence of foreign objects (obstacles) within this field will be
detected, and the user made aware of detection through adjustment of the force
feedback response of the master arm. Applications considered include robotic
arms operating in (typically turbid) water, but also in the air.
This Ph.D. position provides an excellent opportunity for an outstanding,
motivated student, with a strong background in robotics and sensing, to work,
learn and develop in direct contact with research groups internationally
recognized in the field of bio-inspired robotics and remotely operated
robotics. Candidates with background in automatic control theory, dynamical
system theory, and/or applied mechatronics will receive special consideration.
Contact
Franck Geffard
CEA / DRT/DIASI//LRI
CEA SACLAY - DIGITEO MOULON
DRT/LIST/DIASI/LRI
DIGITEO Labs - Bâtiment 660
Rue Noetzlin, 91190 GIF-SUR-YVETTE
Voice: (+33) 1 69 08 07 84
Email: franck.geffard@cea.fr
Host University / Graduate School
Nantes, Sciences et Technologies de l'Information et de Mathématiques (STIM) -
Nantes
Thesis Supervisor
Frédéric Boyer
CNRS-UMR 6597 / IRCCyN / EMN
Ecole des Mines de Nantes
4, rue Alfred Kastler, BP 20722
44307 NANTES Cedex 3
Voice: (+33) 2 51 85 83 08
Email: frederic.boyer@mines-nantes.fr
related to remotely operated robotics. The Interactive Robotics Laboratory
(LRI, part of CEA LIST) has been a prominent contributor to this field, in
particular through its work on remotely operated robotic arms. Applications of
interest involve manipulation in hostile environments, where the operator uses
a master arm (from a safe location) to remotely control movements of a slave
arm (operating in a hazardous environment).
Some of the more stringent limitations of remotely operated robotics technology
are directly linked to difficulties in providing the operator with a complete
and detailed representation of the remotely operated arm’s direct
environment. The offered research project proposes to transcend such
limitations through the use of novel, bio-inspired sensing modalities, in
particular that of the aforementioned electric sense. In practice, an active
electric sensor will be used to generate an electric field around the remotely
operated arm. Presence of foreign objects (obstacles) within this field will be
detected, and the user made aware of detection through adjustment of the force
feedback response of the master arm. Applications considered include robotic
arms operating in (typically turbid) water, but also in the air.
This Ph.D. position provides an excellent opportunity for an outstanding,
motivated student, with a strong background in robotics and sensing, to work,
learn and develop in direct contact with research groups internationally
recognized in the field of bio-inspired robotics and remotely operated
robotics. Candidates with background in automatic control theory, dynamical
system theory, and/or applied mechatronics will receive special consideration.
Contact
Franck Geffard
CEA / DRT/DIASI//LRI
CEA SACLAY - DIGITEO MOULON
DRT/LIST/DIASI/LRI
DIGITEO Labs - Bâtiment 660
Rue Noetzlin, 91190 GIF-SUR-YVETTE
Voice: (+33) 1 69 08 07 84
Email: franck.geffard@cea.fr
Host University / Graduate School
Nantes, Sciences et Technologies de l'Information et de Mathématiques (STIM) -
Nantes
Thesis Supervisor
Frédéric Boyer
CNRS-UMR 6597 / IRCCyN / EMN
Ecole des Mines de Nantes
4, rue Alfred Kastler, BP 20722
44307 NANTES Cedex 3
Voice: (+33) 2 51 85 83 08
Email: frederic.boyer@mines-nantes.fr
