Abhishek Pandala
Papers
11
Total Citations
448
H-Index
7
About
Abhishek Pandala is a robotics and control systems researcher whose work centers on legged locomotion, model predictive control (MPC), and optimization-based frameworks for quadrupedal robots. His research has made significant strides in enabling dynamic, real-world robot motion by bridging the gap between theoretical control methods and practical implementation. Pandala's most influential contribution is his Representation-Free Model Predictive Control (RF-MPC) framework, which directly employs rotation matrices to capture 3D rotational dynamics without the singularities associated with traditional representations — a breakthrough that has garnered 173 citations. His earlier real-time MPC framework for versatile quadrupedal motion (102 citations) laid important groundwork for this direction. Complementing these efforts, his development of qpSWIFT (85 citations), a lightweight real-time quadratic program solver, has become a widely adopted tool in the robotics community for embedded control applications. Beyond MPC, Pandala has explored nonlinear virtual constraint controllers, robust predictive control using machine learning to reconcile reduced- and full-order models, bio-inspired tail-assisted locomotion, and decentralized and distributed control architectures for multi-robot cooperative locomotion. His collective body of work, spanning over 440 citations, reflects a sophisticated and systems-level approach to making legged robots more agile, robust, and computationally tractable in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Representation-Free Model Predictive Control for Dynamic Motions in Quadrupeds173 citations · 2021
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