In this episode of the Leadership Lab Podcast, Anthony engages in a conversation with Roland Meertens, a dedicated product manager at Annotell. Roland's passion for robotics, particularly self-driving cars, drives him to tackle the intricate challenges associated with comprehending a robot's surroundings. He emphasizes the significance of imparting an understanding of the world to robots through extensive data, effective training algorithms, and robust evaluation techniques. His primary focus lies in crafting user-friendly product solutions for perception engineers, streamlining their efforts in solving these challenges.Prior to his role at Annotell, Roland played a pivotal role in developing machine learning solutions for the perception obstacles of autonomous vehicles at AID - Autonomous Intelligent Driving, based in Munich. This involved harnessing lidar and camera data to decipher the environment and predict the actions of other traffic participants. Notably, Roland recounts driving extended distances throughout Munich in a self-engineered self-driving vehicle as a culmination of his work there.Before joining AID, Roland's professional journey encompassed diverse roles. He contributed to deep learning solutions for natural language processing (NLP) dilemmas at Infor, delved into computer vision for drones as a researcher at TU Delft, and explored social robotics at SpirOps. During his tenure at Radboud University, pursuing Artificial Intelligence, Roland specialized in cognitive artificial intelligence and brain-computer interfacing.Make sure to follow Roland on Twitter: https://twitter.com/rolandmeertens, and connect with him on LinkedIn.Discover more insights: https://www.deeprec.ai/blog

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related