Charles De Clercq

Papers

Total Citations

109

H-Index

About

Charles De Clercq is a pioneering researcher in neuromorphic vision and robotic perception, with a focus on developing biologically inspired visual systems for autonomous and humanoid robots. His work centers on event-based vision, which departs from traditional frame-based cameras by using asynchronous, stimulus-driven signal acquisition to achieve faster, more efficient sensing. De Clercq’s major contributions include the design of embedded neuromorphic vision systems for the iCub humanoid robot, integrating event-driven sensors and dedicated processors to mimic mammalian visual pathways. His 2014 paper on asynchronous event-based time-to-contact, with 57 citations, introduced a reliable method for rapid environmental sensing critical for mobile robotics, addressing limitations like low temporal dynamics and data redundancy. Additionally, his 2011 work on embedded neuromorphic vision for humanoids, cited 45 times, advanced real-time, low-latency perception in robotics. De Clercq also led the eMorph project, which proposed a novel concept for robotic vision by combining space- and event-based processing. His research has significantly impacted the fields of neuromorphic engineering and autonomous systems, offering efficient, bio-inspired solutions that enhance robotic interaction with dynamic environments.