Mindaugas Luneckas
Papers
11
Total Citations
126
H-Index
6
About
Mindaugas Luneckas is a robotics researcher whose work centers on the locomotion, energy efficiency, and control of hexapod walking robots. His major contributions focus on developing algorithms and hardware solutions that enable six-legged robots to traverse irregular terrain while minimizing energy consumption and maintaining stability. His most cited paper, "Hexapod Robot Gait Switching for Energy Consumption and Cost of Transport Management Using Heuristic Algorithms" (44 citations), demonstrates how heuristic methods can dynamically select gaits to reduce energy use. He also pioneered a hybrid tactile sensor system for obstacle overcoming (30 citations) and investigated the relationship between body elevation, step height, and energy consumption (11 citations). Luneckas has explored statically stable body construction, foot deviation minimization using neural networks, and piezoelectric force sensors for transportation platforms. Beyond hexapod robotics, he has applied convolutional neural networks to estimate honeybee density for ecological monitoring. His work has accumulated over 125 citations, reflecting its relevance to the growing field of energy-aware, terrain-adaptive legged robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Energy-efficient walking over irregular terrain: a case of hexapod robot19 citations · 2019
- 4
- 5Hexapod robot gait stability investigation6 citations · 2016
- 6Statically stable hexapod robot body construction6 citations · 2016
- 7Minimizing Hexapod Robot Foot Deviations Using Multilayer Perceptron3 citations · 2015
- 8PIEZOELECTRIC FORCE SENSORS FOR HEXAPOD TRANSPORTATION PLATFORM2 citations · 2015
- 9Leg placement algorithm for foot impact force minimization2 citations · 2018
- 10Convolutional Neural Network for Honeybee Density Estimation2 citations · 2020