Attention-driven Active Vision for Efficient Reconstruction of Plants and Targeted Plant Parts. - Akshay K. Burusa; Eldert J. van Henten; Gert Kootstra (CoRR, 2022)

Efficient Search and Detection of Relevant Plant Parts using Semantics-Aware Active Vision. - Akshay K. Burusa; Joost Scholten; David Rapado Rincon; Xin Wang; Eldert J. van Henten; Gert Kootstra (CoRR, 2023)

3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud. - Jianchao Ci; Xin Wang; David Rapado Rincon; Akshay K. Burusa; Gert Kootstra (CoRR, 2023)

Multi-Hypothesis Tracking in a Graph-Based World Model for Knowledge-Driven Active Perception. - Jordy Senden; Kevin Hollands; David Rapado Rincon; Akshay K. Burusa; Bas Herremans; Herman Bruyninckx; René van de Molengraft (IEEE Robotics Autom. Lett., 2023)

Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes. - Akshay K. Burusa; Eldert J. van Henten; Gert Kootstra (ICRA, 2024)

A comparison between single-stage and two-stage 3D tracking algorithms for greenhouse robotics. - David Rapado Rincon; Akshay K. Burusa; Eldert J. van Henten; Gert Kootstra (CoRR, 2024)

SSL-NBV: A self-supervised-learning-based next-best-view algorithm for efficient 3D plant reconstruction by a robot. - Jianchao Ci; Eldert J. van Henten; Xin Wang; Akshay K. Burusa; Gert Kootstra (Comput. Electron. Agric., 2025)

Multiple object tracking with multi-view active vision to effectively find plant nodes in a cluttered tomato greenhouse. - Xin Wang; Akshay K. Burusa; David Rapado Rincon; Thomas A. W. Versmissen; Eldert J. van Henten; Gert Kootstra (Comput. Electron. Agric., 2025)