Stanislav Mikhel

About

Stanislav Mikhel is a robotics researcher whose work centers on human-robot interaction, collaborative robotics, and the practical challenges of deploying industrial manipulators in shared workspaces. His most influential contribution, a 2020 paper on programming robotic manipulators through Mixed Reality using HoloLens and ROS, has garnered 65 citations and demonstrates a clear focus on making robot programming more intuitive and accessible. Mikhel has also made significant strides in robot safety and precision: his work on model-based collision detection (46 citations) addresses the critical need for reliable physical human-robot interaction using proprioceptive sensors, while his studies on compliance error compensation and elastostatic modeling aim to improve machining accuracy for industrial robots. Beyond specific algorithms, he has contributed to the field’s infrastructure through a comprehensive review of robot description formats and a modern, microservices-based ROS-like framework. His research consistently bridges the gap between theoretical control strategies and real-world applications, tackling issues from double-encoder force detection to multi-scenario collision handling. With over a dozen publications and a clear trajectory toward safer, more capable collaborative robots, Mikhel’s work is essential reading for anyone interested in the future of industrial automation and human-robot teamwork.

Research Focus

Key Achievements

Top Papers

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

   65 citations · 2020
2. 2
   Practical Aspects of Model-Based Collision Detection

   46 citations · 2020
3. 3
   Robot description formats and approaches: Review

   13 citations · 2021
4. 4
   Advancement of Robots With Double Encoders for Industrial and Collaborative Applications

   13 citations · 2018
5. 5
   Compliance Error Compensation based on Reduced Model for Industrial Robots

   10 citations · 2018
6. 6
   Collision Driven Multi Scenario Approach for Human Collaboration with Industrial Robot

   10 citations · 2018
7. 7
   Increasing Machining Accuracy of Industrial Manipulators Using Reduced Elastostatic Model

   8 citations · 2019
8. 8
   ROS-like framework using modern development concepts and microservices

   5 citations · 2021
9. 9
   Multi-Scenario Contacts Handling for Collaborative Robots Applications

   4 citations · 2021
10. 10
    Compliance Error Compensation based on Reduced Model for Industrial Robots

    4 citations · 2018

Key Collaborators

Contact & Links