Jan Steckel
Papers
27
Total Citations
453
H-Index
10
About
Jan Steckel is a prolific researcher whose work sits at the intersection of robotics, sonar sensing, and bioinspired engineering. Best known for pioneering biomimetic approaches to autonomous navigation, Steckel has drawn extensively from the echolocation strategies of bats to develop intelligent acoustic sensing systems for mobile robots. His landmark paper "BatSLAM" (2013, 112 citations) demonstrated how biomimetic sonar could enable simultaneous localization and mapping, establishing him as a leading voice in acoustic robotics. Building on this foundation, he advanced 3D sonar array systems capable of high-resolution spatial imaging without mechanical scanning, culminating in deployable embedded platforms like eRTIS and URTIS designed for real-world robotic applications. Steckel's contributions extend beyond hardware, encompassing acoustic flow-based robot control, bioinspired reflector beacons for navigation guidance, and innovative cross-modal approaches that bridge sonar and LiDAR perception. His work on ultrasonic air leak detection further demonstrates a commitment to practical industrial impact. With a cumulative citation count exceeding 350 across his top papers, Steckel has meaningfully shaped how roboticists think about acoustic sensing as a robust alternative to optical systems, particularly in challenging environments where cameras and LiDAR falter.
Research Focus
Key Achievements
Top Papers
- 1BatSLAM: Simultaneous Localization and Mapping Using Biomimetic Sonar112 citations · 2013
- 2Broadband 3-D Sonar System Using a Sparse Array for Indoor Navigation79 citations · 2012
- 3
- 4Bioinspired sonar reflectors as guiding beacons for autonomous navigation22 citations · 2020
- 5Acoustic Flow-Based Control of a Mobile Platform Using a 3D Sonar Sensor20 citations · 2017
- 6Avoidance of non-localizable obstacles in echolocating bats: A robotic model18 citations · 2019
- 7
- 8Urtis: a Small 3d Imaging Sonar Sensor for Robotic Applications16 citations · 2020
- 9Predicting LiDAR Data From Sonar Images13 citations · 2021
- 10