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Ashish Singla is a prominent robotics researcher whose work spans medical robotics, exoskeleton design, robotic manipulators, and nonlinear control systems. He is perhaps best known for his influential 2017 survey on lower-limb exoskeletons, which has garnered over 220 citations and remains a key reference for researchers developing assistive wearable technologies to address the growing demands of aging populations. His contributions to surgical robotics are equally significant, particularly his extensions of the Denavit-Hartenberg parameter method to hybrid manipulators used in robot-assisted surgery, cited over 35 times, which meaningfully advanced kinematic modeling for complex surgical systems. Singla has made substantial strides in intelligent control and robot kinematics, employing adaptive neuro-fuzzy inference systems (ANFIS) for path planning and inverse kinematics solutions across multiple manipulator configurations. His work on real-time control systems, including LQR-based sliding mode controllers and cart-pendulum stabilization, demonstrates a versatile command of both theoretical and applied control engineering. More recently, his bond graph-based knee exoskeleton research addresses practical rehabilitation challenges for individuals with mobility impairments. Collectively, his publications have accumulated hundreds of citations, reflecting a sustained and meaningful impact on the intersecting fields of medical robotics, assistive technology, and intelligent control systems.