Ander Ansuategi
Papers
9
Total Citations
401
H-Index
6
About
Ander Ansuategi is a leading researcher in autonomous robotics, with a focus on mobile manipulation, perception, and agricultural automation. His work bridges the gap between intelligent navigation and real-world deployment, particularly in greenhouses and industrial settings. Ansuategi’s survey on active mapping and robot exploration (155 citations) is a foundational reference in simultaneous localization and mapping (SLAM), addressing how robots can autonomously build environmental maps. He has made significant contributions to precision agriculture, developing a ROS-based control architecture for pest inspection and treatment in greenhouses, and benchmarking deep learning strategies for pest detection on tomato plants (118 citations)—work that directly supports sustainable farming by reducing pesticide use. In industrial robotics, Ansuategi has advanced affordance-based grasping using graph convolutional networks and deep reinforcement learning for mobile manipulator positioning, enabling efficient bin-picking and packing operations. His recent work on simulation-based synthetic data generation for training segmentation models further underscores his commitment to scalable, data-driven robotics. With over 400 total citations, Ansuategi’s research is shaping the next generation of autonomous systems that are both intelligent and practically deployable.
Research Focus
Key Achievements
Top Papers
- 1Active Mapping and Robot Exploration: A Survey155 citations · 2021
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- 6Laser Based People Following Behaviour in an Emergency Environment11 citations · 2009
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