Janaki Balakrishnan
Yale University, Center for Systems Biology, University of California, Santa Barbara
Papers
4
Total Citations
506
H-Index
4
About
Janaki Balakrishnan is a researcher whose work spans adaptive control systems and human haptic perception, demonstrating a rare breadth across engineering and sensorimotor science. Perhaps most influential is their 1995 contribution on adaptive control using multiple models, switching, and tuning — a landmark methodology for designing intelligent control systems capable of operating under significant environmental uncertainty. This work has garnered an impressive 442 citations, establishing it as a foundational reference in the adaptive control literature. Building on this foundation, Balakrishnan extended the framework in a 2002 paper on intelligent control using fixed and adaptive identification models, further refining transient performance in adaptive systems. Alongside this engineering work, Balakrishnan made early contributions to understanding human haptic exploration. A two-part 1991 study investigated how humans extract object contour information through touch alone, revealing structured exploration patterns shaped by task goals and the body's intrinsic capacities — research with meaningful implications for robotics, prosthetics, and grasping. Together, these contributions reflect a career that bridges theoretical control design and the study of human sensorimotor behavior, offering insights valuable to researchers in robotics, adaptive systems, and neuroscience alike.
Research Focus
Key Achievements
Top Papers
- 1Adaptation and learning using multiple models, switching, and tuning442 citations · 1995
- 2Intelligent control using fixed and adaptive models37 citations · 2002
- 3Task–Driven Extraction of Object Contour by Human Haptics: Part 118 citations · 1991
- 4Task-Driven Extraction of Object Contour by Human Haptics: Part 29 citations · 1991