Thathit Gumilar Triwidya Mochtar

Mercu Buana University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Thathit Gumilar Triwidya Mochtar is a robotics researcher specializing in kinematic control and motion planning for multi-degree-of-freedom manipulators. Their primary research areas include inverse kinematics, trajectory optimization, and precise end-effector guidance for industrial and service robots. Dr. Mochtar’s most cited work, “Utilizing Inverse Kinematics for Precise Guidance in Planning 6-DoF Robot End-Effector Movements” (2024, 3 citations), presents a novel geometric-trigonometric approach to solving inverse kinematic problems, offering enhanced accuracy over traditional numerical and iterative methods. This contribution addresses a critical bottleneck in robotic arm control, enabling smoother and more reliable movements in complex tasks. Despite being early in their career, Dr. Mochtar’s work has already drawn attention for its practical applicability, bridging theoretical kinematics with real-world robotic systems. Their research holds promise for advancing automation in manufacturing, healthcare, and precision assembly. As a rising voice in robotics, Dr. Mochtar continues to explore innovative solutions that push the boundaries of autonomous manipulation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Utilizing Inverse Kinematics for Precise Guidance in Planning 6-DoF Robot End-Effector Movements
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Mercu Buana University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago