Abhaya Singh

Robotics · AI · Control Systems Engineer | Vision-Based Automation · Sensor Fusion · BMS · IoT | PhD | 660+ Scholar Citations | NMBU · SINTEF · MIT Collaborator

Ås, Viken, Norway

About

I worked on intelligent robotic systems that see, sense, and decide applied to autonomous salmon inspection lines and other agricultural settings. With a PhD in Engineering and 10+ years spanning research, teaching, and industry, I work at the intersection of robotics, AI, and control systems. Currently at DahlRail (Oslo), I lead development of battery management systems and work with industrial IoT hardware for tram and metro applications. Previously as a PostDoc at NMBU, I worked on vision-based robotic systems for food automation in collaboration with SINTEF, NTNU, MIT, and INRIA. What I bring: -- Robotics & autonomous systems (UR10, UR3, Panda, ROS) -- Computer vision, sensor fusion & motion planning -- Fractional-order control, MPC, adaptive control -- Electronics hardware design & embedded systems -- Industrial IoT & battery management systems (BMS) By the numbers: 30+ peer-reviewed publications · 2 books (Springer Nature & MDPI) · 660+ Google Scholar citations · h-index 13 · Guest Editor, Fractal and Fractional journal I've collaborated across MIT, SINTEF, NTNU, INRIA, University of Sannio, and Queensland University of Technology and bridging cutting-edge research and real-world industrial impact. Previously, I spent 9 years as an Assistant Professor in India, where I developed Robotics Lab, supervised Master's students, and taught Robotics, Control Systems, and MATLAB. Open to collaborations in robotics, AI-driven automation, intelligent sensing, and advanced control, across both industry and research. 📩 [email protected] | 🔗 ORCID: 0000-0002-3046-9403

Experience

  • Electronics Engineer at Dahlrail
    Mar 2026 - Present · 5 mos

    I am involved in working on battery management systems, focusing on monitoring performance and ensuring efficient operation. I am also involved in the maintenance of auxiliary converters used in trains, helping to keep the systems reliable and functioning smoothly.

  • NMBU - Norwegian University of Life Sciences (Ås · On-site)
    • Postdoctoral Researcher
      Jun 2024 - Feb 2026 · 1 yr 9 mos

      I was working on integrating sensors with the robot to scan salmon. The system used a force/torque sensor, a Raman sensor, and a camera for visual input. The goal was to enable the robot to detect melanin or blood spots on salmon fillets and analyze omega-3 fatty acids, while using motion planning to avoid those unwanted spots. At the same time, the project focused on developing smart sensors capable of carrying out autonomous, in-line measurements of different food nutrients.

    • Researcher/Forsker
      Nov 2022 - Jun 2024 · 1 yr 8 mos

      I was involved in the GentleMAN project, which focused on gentle robotic manipulation of 3D compliant objects. The initiative aimed to improve robotic manipulation capabilities by developing advanced technologies in collaboration with SINTEF, NTNU, NMBU, MIT, INRIA, and the Queensland University of Technology. In this project, I contributed to work that combined artificial intelligence, advanced vision systems, and tactile sensing. The goal was to enable robots to perform complex manipulation tasks that have traditionally only been achievable by humans, especially when handling delicate or deformable objects.

  • Visiting Scientist at SINTEF Ocean
    Oct 2023 - Oct 2023 · 1 mo

    I was involved in a joint research effort focused on collaborative robotics. I worked on a project that used visual servoing along with Panda robots to handle and manipulate deformable objects. The work centered on improving how robots perceive and adapt to changes in soft or flexible materials during interaction.

  • Research Student at Università degli Studi del Sannio-Benevento
    May 2021 - Oct 2022 · 1 yr 6 mos

    I was involved in the VERITAS project, where my work was carried out in collaboration with the University of Sannio in Benevento, Italy. The project focused on developing a system based on crop growth dynamics to support timely treatment and intervention in agricultural settings. My role contributed to using unmanned aerial vehicles (drones) to monitor variability within vineyards. This approach helped track changes across the fields more efficiently, enabling better-informed decisions for precision farming.

  • Assistant Professor at SIT- Symbiosis Institute of Technology
    Aug 2012 - May 2021 · 8 yrs 10 mos

    I worked in the Electronics and Telecommunication Engineering department at Symbiosis Institute of Technology, Pune, India. During my time there, I was involved in setting up a robotics lab for the department, which became a key resource for both teaching and research activities. I supervised and guided four Master’s students through to graduation, supporting them in their academic and project work. I also developed course curriculum packages for subjects such as basic and advanced electronic circuit design, modern control systems, and robotics. My teaching responsibilities included courses like robotics, signals and systems, digital electronics and circuit design, control systems, circuit theory, semiconductor devices and circuits, MATLAB programming, and electromagnetic field theory. In addition, I regularly participated in faculty development programs and workshops, and was involved in conducting both internal and external oral and practical examinations at the university.