Péter Tamás Szemes

About

Péter Tamás Szemes is a leading researcher in intelligent robotics, focusing on human-robot interaction, tele-micromanipulation, and autonomous navigation within Intelligent Spaces (iSpace). His foundational work, "Pedestrian-Behavior-Based Mobile Agent Control in Intelligent Space" (33 citations), pioneered the use of distributed sensory systems to observe human walking patterns, training fuzzy-neural networks for mobile robot control. Szemes made significant contributions to industrial automation through "Welding trajectory reconstruction based on the Intelligent Space concept" (24 citations), enabling superflexible robot programming by using dual cameras and edge detection for precise trajectory determination. His development of a single-master multi-slave tele-micromanipulation system (23 citations), integrating PHANToM haptic devices with parallel manipulators, advanced human-robot cooperative control for micro-scale tasks. Notably, Szemes demonstrated global impact with his "Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space" (10 citations), linking labs in Tokyo and Budapest. His work on guiding systems for disabled individuals in urban environments (7 citations) highlights his commitment to accessible robotics. With over 140 total citations across his most-cited papers, Szemes has shaped the fields of intelligent space, teleoperation, and adaptive robot control.

Research Focus

Key Achievements

Top Papers

1. 1
   Pedestrian-Behavior-Based Mobile Agent Control in Intelligent Space

   33 citations · 2005
2. 2
   Welding trajectory reconstruction based on the Intelligent Space concept

   24 citations · 2008
3. 3
   Development of a single-master multi-slave tele-micromanipulation system

   23 citations · 2007
4. 4
   Fuzzy neural network based mobile agent control for intelligent space

   12 citations · 2004
5. 5
   An evaluation of grasp force control in single-master multi-slave tele-micromanipulation

   10 citations · 2005
6. 6
   Robot navigation framework based on reinforcement learning for intelligent space

   10 citations · 2008
7. 7
   Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space

   10 citations · 2006
8. 8
   Artificial neural network based object tracking

   9 citations · 2004
9. 9
   Guiding and communication assistant for disabled in intelligent urban environment

   7 citations · 2004
10. 10
    A Human-Robot Shared Control in Single-Master Multi-Slave Tele-Micromanipulation System

    5 citations · 2005

Key Collaborators

Contact & Links