Endrowednes Kuantama

Macquarie University, Pelita Harapan University

Papers

6

Total Citations

30

H-Index

3

About

Endrowednes Kuantama is a robotics researcher whose work spans autonomous navigation, cooperative aerial systems, and human-robot interaction. His most impactful contribution, "Sensor Fusion for Autonomous Indoor UAV Navigation in Confined Spaces" (2023, 14 citations), tackles the critical challenge of enabling drones to navigate unknown indoor environments by integrating depth sensing from ZED 2i cameras, IMU data, and LiDAR measurements—a key enabler for applications in search-and-rescue and infrastructure inspection. In his highly innovative "Cooperative Drone Delivery via Push-based Lift with Payload Stabilization" (2024, 7 citations), Kuantama introduces a novel push-based method for payload transport using multiple quadcopters, featuring a self-stabilizing tray that enhances delivery precision and safety. His earlier work demonstrates a broad creative range, from a color-recognition robot (2011, 3 citations) and a camera-guided mobile robot for simulated highway navigation (2011, 2 citations) to playful projects like a hand-puppet-controlled robot and "Robogotchi," an emoticon robot with facial expressions and RFID-based feeding. This blend of technical depth and imaginative design makes Kuantama a versatile figure in modern robotics.

Research Focus

Key Achievements

3
H-Index
6
Papers
30
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Sensor Fusion for Autonomous Indoor UAV Navigation in Confined Spaces
14 citations · 2023
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Macquarie University, Pelita Harapan University

Top Papers

  1. 1
  2. 2
  3. 3
    Color recognition robot
    3 citations · 2011
  4. 4
  5. 5
    Hand-puppet robot control
    2 citations · 2011
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago