Raghav Mishra

Raghav Mishra

Robotics / Mechatronics Engineer



I am a robotics autonomy engineer at Emesent, where I am currently working on better state estimation for one of the most advanced autonomous mapping systems for drones and other similar robots.

My interests lie in robotics and control. In particular, I enjoy whenever we can bring rigorous mathematical and physical tools into making robots more capable of advanced actions. This includes non-linear system theory, numerical optimal control, control in Lie groups, etc. But I enjoy a wide variety of problems from all domains of robotics and beyond.

  • Robotics
  • Control theory
  • Dynamics
  • Signal processing
  • Machine Learning
  • MEng in Mechatronic Engineering

    University of Queensland

  • BEng (Hons) in Mechatronic Engineering

    University of Queensland


Autonomy Engineer
Oct 2021 – Present Brisbane, QLD, AU
State estimation and autonomy for autonomous mapping systems like quadrotors and legged robots
University of Queensland
Teaching Assistant
Jan 2020 – Nov 2021 Brisbane, QLD, AU
Teaching Control Engineering I, Control Engineering II, Signals, Systems & Control, and Robotics & Advanced Control
CSIRO's Data61 - Robotics and Autonomous Systems group
Masters Postgraduate Researcher
Jan 2021 – Jul 2020 Brisbane, QLD, AU
Research into novel designs for granular jamming grippers and the use of vibrational effects on granular jamming for robotics
Software Engineering Intern
Oct 2019 – Feb 2020 Bellevue, WA, USA
Implementing distributed training of BERT neural network on Azure Compute Clusters to speed up AutoML natural language processing featurizers by distributing training to GPU compute clusters
CSIRO's Data61 - Robotics and Autonomous Systems group
Vacation Research Scholar
Oct 2018 – Feb 2019 Brisbane, QLD, AU
Research on improving multi-camera object detection from single camera labels for pedestrian tracking using traditional geometric features with convolutional neural networks
Petra Data Science
Data Science Intern
Jun 2018 – Jun 2018 Brisbane, QLD, AU
Machine learning and data science for the resources sector


(2021). Vibration Improves Performance in Granular Jamming Grippers. arXiv.