Prajval Kumar Murali, M.Sc.

PhD Student at BMW Group and University of Glasgow

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I am a Ph.D. candidate at the BMW Group and the University of Glasgow working on Visuo-Tactile Perception for Safe Human-Robot Interaction and Object-Robot Manipulation under the supervision of Prof. Dr. Mohsen Kaboli and Prof. Dr. Ravinder Dahiya. My Ph.D. research focuses on enabling intelligent agents to make use of the complementary sensing modalities such as vision and touch while leveraging active perception and learning methodologies to efficiently interact with the environment.

 

Previously, I have worked as a robotics engineer at the Dynamic Interaction Control group at the Italian Institute of Technology, Genova Italy from 2018 to 2020. I graduated from the European Masters on Advanced Robotics (EMARO+), an Erasmus Mundus Master’s program at Ecole Centrale de Nantes, France and University of Genova, Italy in September 2018. I worked on my Master's thesis on task planning for flexible human-robot collaboration frameworks in a manufacturing environment at the Schaeffler Group. I have been awarded the prestigious Erasmus Mundus Consortium Scholarship by the European Union for my master's program. I earned my bachelor's degree in engineering with highest distinctions in 2016 from the National Institute of Technology Tiruchirappalli, India.

Research Interests

- Human-Robot Interaction

- Visuo-tactile Perception

- Active perception and learning

- Robot Manipulation

Key Publications

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Deep Active Cross-Modal Visuo-Tactile Transfer Learning for Robotic Object Recognition

Prajval Kumar Murali, Cong Wang, Dongheui Lee, Ravinder Dahiya, Mohsen Kaboli

IEEE Robotics and Automation Letters (RA-L)

Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter

Prajval Kumar Murali, Anirvan Dutta, Michael Gentner, Etienne Burdet, Ravinder Dahiya, Mohsen Kaboli

IEEE Robotics and Automation Letters (RA-L)

Intelligent In-Vehicle Interaction Technologies

Prajval Kumar Murali, Mohsen Kaboli, Ravinder Dahiya

Advanced Intelligent Systems

Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace

Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation

Prajval Kumar Murali, Ravinder Dahiya, Mohsen Kaboli

IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) 2022

Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation

Prajval Kumar Murali, Cong Wang, Ravinder Dahiya, Mohsen Kaboli

IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) 2022

Awards during Ph.D.