Virtual whiskers—Highly responsive robot collision avoidance

T Schlegl, T Kröger, A Gaschler… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
All mammals but humans use whiskers in order to rapidly acquire information about objects
in the vicinity of the head. Collisions of the head and objects can be avoided as the contact …

A pretouch sensing system for a robot grasper using magnetic and capacitive sensors

T Schlegl, M Neumayer… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Pretouch sensors are capable to classify objects and estimate their position prior to touching
and thus close the gap between vision-and contact-based sensing. This will be particularly …

Signal accumulation in problems with constraints and its application to real-life magnetometry

D Piatkin, R Shterenberg - Measurement Science and …, 2023 - iopscience.iop.org
Signal accumulation in problems with constraints and its application to real-life magnetometry
- IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals …

Giant (gmr) and tunnel (tmr) magnetoresistance sensors: From phenomena to applications

C Reig, MD Cubells-Beltrán - Magnetic Sensors and Devices, 2017 - taylorfrancis.com
Solid state magnetic sensors have inherent characteristics that make them potential
candidates in a huge range of applications regarding magnetic field sensing. This chapter …

15 Capacitive Sensing for Safety Applications

T Schlegl, H Zangl - … for Smart Sensors and Sensor Fusion, 2014 - api.taylorfrancis.com
A large number of people are injured every year because they or other objects reside in
areas where they just should not be. This high number could be reduced by safety devices …

A GMR based magnetic pretouch sensing system for a robot grasper

T Schlegl, S Mühlbacher-Karrer… - 2012 IEEE …, 2012 - ieeexplore.ieee.org
Pretouch sensors are capable to classify objects and estimate their position prior to touching
and thus close the gap between vision and contact based sensing. This will be particularly …

[引用][C] Capacitive Sensing for Robot Safety Applications

T Schlegl