Rashida Nayeem
Papers
5
Total Citations
48
H-Index
4
About
Rashida Nayeem is a researcher specializing in human motor control, robotics, and the neuroscience of dexterous manipulation, with a particular focus on how humans and robots interact with dynamically complex objects. Her work is perhaps best exemplified through the deceptively simple act of carrying a cup of coffee — a task that conceals profound challenges in control and perception. Nayeem's most cited work (2021, 28 citations) revealed how humans strategically set initial conditions to simplify their interactions with objects possessing complex internal dynamics, offering key insights for robotic manipulation design. Complementary studies from 2020 explored transient behavior and predictability in such tasks, as well as how the nonlinearity of an object's internal dynamics affects human control strategies. Her 2021 work on dynamic primitives and optimal feedback control bridges computational neuroscience with robotics, drawing on the striking observation that toddlers still outperform cutting-edge robots in physical manipulation. More recently, her 2023 research investigates multi-modal sensory perception, examining how tactile and other sensory inputs contribute to successful control. Collectively, Nayeem's research illuminates fundamental principles of human motor intelligence while providing actionable frameworks for advancing robotic dexterity.
Research Focus
Key Achievements
Top Papers
- 1
- 2Transient Behavior and Predictability in Manipulating Complex Objects8 citations · 2020
- 3Control of Complex Objects: Challenges of Linear Internal Dynamics5 citations · 2020
- 4
- 5Multi-modal Interactive Perception in Human Control of Complex Objects3 citations · 2023