Papers
2
Total Citations
36
H-Index
2
About
Beteley Teka is a robotics researcher whose work centers on mobile manipulation, chaotic systems, and intelligent path planning for complex environments. Her major contributions lie in solving two critical challenges: enabling mobile manipulator systems to navigate uneven terrain, and developing efficient area coverage strategies. In her highly cited 2019 paper (16 citations), Teka addressed the inverse kinematics problem for a 14-degree-of-freedom mobile manipulator by introducing a two-stage Support Vector Machine approach, allowing for precise end-effector path control on uneven ground—a breakthrough for applications in rescue, space exploration, and warehouse automation. Her 2021 work (20 citations) proposed a novel one-dimensional chaotic map with a simple three-parameter structure, using it to generate pseudo-random bit sequences for chaotic path planning in 3D area coverage. By analyzing phase portraits, bifurcation diagrams, and Lyapunov exponents, she demonstrated the map's regions of constant chaos, offering a computationally efficient alternative for autonomous exploration. Teka’s research bridges theoretical nonlinear dynamics with practical robotics, providing elegant solutions to real-world navigation and coverage problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2