Genci Capi

About

Genci Capi is a robotics researcher whose work spans bipedal locomotion, evolutionary computation, and intelligent robot systems. He is best known for his pioneering contributions to humanoid robot control, particularly his early development of Zero Moment Point (ZMP)-based walking control methods, which earned 115 citations and established foundational techniques for achieving smooth, real-time locomotion in walking robots. Throughout the early 2000s, Capi advanced the field further by applying genetic algorithms to optimize biped gait synthesis — minimizing energy consumption and torque during walking and stair climbing — producing several highly cited studies that demonstrated the power of evolutionary approaches in robot motion planning. His research evolved to encompass neural network controllers, multiobjective evolution strategies, and recurrent neural architectures, reflecting a deep interest in adaptive, biologically inspired machine intelligence. Later work expanded into mobile humanoid robots designed to assist elderly populations and, more recently, deep learning applications for outdoor robot localization and dynamic object manipulation. His 2019 landmark detection paper highlights his embrace of modern AI techniques for practical robotic deployment. With over 500 cumulative citations across his top works, Capi's career represents a sustained and influential trajectory from classical control theory through cutting-edge machine learning, making him a noteworthy figure for students exploring the intersection of robotics, AI, and human-centered design.

Research Focus

Key Achievements

Top Papers

1. 1
   Control of walking robots based on manipulation of the zero moment point

   115 citations · 2000
2. 2
   Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms

   64 citations · 2002
3. 3
   Real time gait generation for autonomous humanoid robots: A case study for walking

   59 citations · 2003
4. 4
   Application of Genetic Algorithms for biped robot gait synthesis optimization during walking and going up-stairs

   55 citations · 2001
5. 5
   Deep Learning-Based Landmark Detection for Mobile Robot Outdoor Localization

   51 citations · 2019
6. 6
   A new control method for walking robots based on angular momentum

   50 citations · 2003
7. 7
   Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems

   33 citations · 2017
8. 8
   Multiobjective Evolution of Neural Controllers and Task Complexity

   33 citations · 2007
9. 9
   Development of a New Mobile Humanoid Robot for Assisting Elderly People

   32 citations · 2012
10. 10
    Evolution of recurrent neural controllers using an extended parallel genetic algorithm

    27 citations · 2005

Key Collaborators

Contact & Links