Mikhail Ostanin

About

Mikhail Ostanin is a robotics researcher whose work sits at the intersection of human-robot interaction, mixed reality interfaces, and industrial robot programming. He has made significant contributions to making robotic systems more intuitive and accessible, primarily through the development of mixed reality-based frameworks that allow operators to program and control robotic manipulators using platforms such as Microsoft HoloLens integrated with ROS and Unity. His seminal papers on interactive robot programming in mixed reality — accumulating over 60 citations each — established foundational methods for visualizing and defining robot paths in augmented environments, reducing the technical barrier for industrial deployment. Ostanin extended this work to multi-robot systems, encompassing manipulators, mobile robots, and UAVs within unified mixed reality interfaces. Beyond visualization, his research spans gesture recognition using skeleton-hand tracking and support vector machines, programming-by-demonstration with energy-optimized trajectory planning, and stiffness analysis of parallel manipulators such as the Tripteron. With a total body of work exceeding 230 citations, Ostanin's research has meaningfully advanced the field of intuitive human-robot collaboration, offering practical tools that bring sophisticated robotic programming capabilities to non-expert users in real industrial settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Human-robot interaction for robotic manipulator programming in Mixed Reality

   65 citations · 2020
2. 2
   Interactive Robot Programing Using Mixed Reality

   61 citations · 2018
3. 3
   Interactive Robots Control Using Mixed Reality

   31 citations · 2019
4. 4
   Multi robots interactive control using mixed reality

   31 citations · 2020
5. 5
   Programming by Demonstration Using Two-Step Optimization for Industrial Robot.

   12 citations · 2018
6. 6
   Interactive Industrial Robot Programming based on Mixed Reality and Full Hand Tracking

   12 citations · 2022
7. 7
   Real-time static custom gestures recognition based on skeleton hand

   10 citations · 2021
8. 8
   Continuous Control in Deep Reinforcement Learning with Direct Policy Derivation from Q Network

   4 citations · 2020
9. 9
   Stiffness analisys of the Tripteron parallel manipulator

   3 citations · 2020
10. 10
    Obstacle avoidance for robotic manipulator using Mixed reality glasses

    3 citations · 2019

Key Collaborators

Contact & Links