Tomas Luneckas

Vilnius Gediminas Technical University

Papers

13

Total Citations

131

H-Index

6

About

Tomas Luneckas is a leading researcher in the field of legged robotics, with a primary focus on hexapod robot locomotion, energy efficiency, and adaptive terrain navigation. His work addresses the fundamental challenge of enabling walking robots to traverse irregular and impassable environments where wheeled or tracked vehicles fail. Luneckas’s major contributions include developing heuristic algorithms for gait switching that optimize energy consumption and cost of transport, as demonstrated in his most-cited paper (44 citations). He has also pioneered hybrid tactile sensor-based obstacle overcoming methods (30 citations) and investigated the relationship between body elevation, step height, and energy consumption (11 citations). His research on statically stable body construction and gait stability has laid groundwork for practical hexapod designs. With a total of over 120 citations across his publications, Luneckas has significantly advanced the understanding of how multi-legged robots can efficiently and safely navigate complex terrains. His notable achievements include introducing methods for evaluating terrain irregularity through robot posture and minimizing foot deviations using multilayer perceptron neural networks. For students and researchers interested in the intersection of robotics, control systems, and energy optimization, Luneckas’s work provides essential insights into making walking robots viable for real-world applications in search-and-rescue, exploration, and transportation.

Research Focus

Key Achievements

6
H-Index
13
Papers
131
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Hexapod Robot Gait Switching for Energy Consumption and Cost of Transport Management Using Heuristic Algorithms
44 citations · 2021
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Vilnius Gediminas Technical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago