Antti Hietanen
Papers
8
Total Citations
426
H-Index
6
About
Antti Hietanen is a leading researcher at the intersection of robotics, computer vision, and industrial safety, whose work is redefining human-robot collaboration (HRC) in manufacturing. His primary contributions lie in developing vision-based safety systems and augmented reality (AR) interfaces that enable humans and robots to work side-by-side without physical barriers. His landmark 2019 paper on "AR-based interaction for human-robot collaborative manufacturing" has garnered 243 citations, proposing depth-sensor models to enforce real-time protective distances as mandated by industrial standards. Hietanen’s comprehensive 2018 review of vision-based safety systems (143 citations) has become a foundational reference for the field, charting how affordable depth sensors like Microsoft Kinect can actively prevent collisions. Beyond safety, he has advanced 6D object pose estimation for robotic manipulation, creating benchmarks that bridge the gap between computer vision metrics and real-world grasping success. His proof-of-concept work on projection-based safety for engine assembly demonstrates industrially relevant applications, while his ongoing benchmarking efforts ensure that pose estimation methods translate effectively to physical robot tasks. Through these contributions, Hietanen is helping to make collaborative manufacturing both safer and more efficient.
Research Focus
Key Achievements
Top Papers
- 1AR-based interaction for human-robot collaborative manufacturing243 citations · 2019
- 2Review of vision-based safety systems for human-robot collaboration143 citations · 2018
- 3
- 4Benchmarking pose estimation for robot manipulation8 citations · 2021
- 5
- 6Object Pose Estimation in Robotics Revisited7 citations · 2019
- 7Benchmarking 6D Object Pose Estimation for Robotics.4 citations · 2019
- 8AR-based interaction for safe human-robot collaborative manufacturing3 citations · 2019