Papers
37
Total Citations
661
H-Index
11
About
Sigal Berman is a robotics researcher whose work spans agricultural robotics, autonomous systems, motion planning, and human-robot interaction. She is perhaps best known for her pioneering contributions to greenhouse automation, particularly the development of robotic systems capable of detecting plant diseases such as powdery mildew and tomato spotted wilt virus in bell pepper crops — work that has garnered over 140 citations and holds significant promise for reducing pesticide use and improving crop yields. Her research in agricultural robotics extends to motion planning for sweet-pepper harvesting in complex, obstacle-dense environments, reflecting a sustained commitment to practical, real-world robotic deployment. Beyond agriculture, Berman has made notable contributions to robotic grasping, developing graspability maps and sensory-grounded grasp quality frameworks that inform both gripper design and real-time planning. Her work in robot-assisted minimally invasive surgery introduced a human-centered transparency framework for evaluating grasping interactions, bridging robotics with medical applications. Earlier in her career, she explored multi-robot control using fuzzy behavior hierarchies and evaluated automated guided vehicle systems. More recently, she has investigated reinforcement learning for reconfigurable robots navigating challenging terrain. With a diverse and highly cited body of work, Berman stands as a versatile and impactful figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Evaluation of automatic guided vehicle systems57 citations · 2008
- 4
- 5Fuzzy behavior hierarchies for multi-robot control49 citations · 2002
- 6
- 7
- 8
- 9
- 10Grasping trajectories in a virtual environment adhere to Weber’s law19 citations · 2018