Ankur Srivastava — accepted AI-conference papers

2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning

Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian +8

NeurIPS 2025poster

Optimizing Register Transfer Level (RTL) code is crucial for improving the efficiency and performance of digital circuits in the early stages of synthesis. Manual rewriting, guided by synthesis feedback, can yield high-quality results but is time-consuming and error-prone. Most existing compiler-bas…

Cited by 0 Source ↗Scholar ↗

2017

Detachable modular robot capable of cooperative climbing and multi agent exploration

Sri Harsha Turlapati, Ankur Srivastava, K Madhava Krishna, Suril V. Shah

ICRA 2017poster

At the cross section of the fields of Uneven Terrain Navigation and Multi Agent Systems (MAS), in this work, a Detachable Compliant Modular Robot (DCMR) which can perform concurrent scene exploration by detaching into numerous parts, while preserving its ability to climb stairs is proposed and built…

Cited by 8 Source ↗Scholar ↗