Abhinav Valada

Prof. Abhinav Valada is a Full Professor (W3) at the University of Freiburg, leading the Robot Learning Lab and serving as Chair of the IEEE RAS Technical Committee on Robot Learning. He holds affiliations with the Department of Computer Science, BrainLinks-BrainTools, and the ELLIS unit Freiburg. His research focuses on enabling robots to learn continuously through perception and interaction in complex environments, emphasizing scalable lifelong learning systems.

Education:

• PhD (summa cum laude), University of Freiburg (2019)
• MS in Robotics, Carnegie Mellon University (2013)
• BTech in Electronics & Instrumentation, VIT University (2010)

Research Interests: Robotics, machine learning, computer vision, with specializations in robot perception, state estimation, and planning. Current work emphasizes open-vocabulary scene understanding, uncertainty-aware perception, and embodied AI. Projects include multi-modal SLAM systems, neural radiance fields for robotics, and generalizable manipulation policies.

Awards:

• IEEE RAS Early Career Award (2023)
• NVIDIA Research Award (2022)
• AutoSens Most Novel Research Award (2022)
• DFG Emmy Noether AI Fellowship (2021)

Grants & Labs: Director of the Robot Learning Lab, co-founder of Platypus LLC (2013–2015), and collaborator on projects like SORTIE (disaster response robotics). Active in funding initiatives focusing on autonomous systems and AI ethics.