Max Robotics — Global Service Robot Directory + US Certification

About

Parag Singla is a prominent researcher working at the intersection of statistical relational learning, neuro-symbolic artificial intelligence, and robotics. His foundational contributions to **Markov Logic** established a unifying framework bridging structural and statistical pattern recognition, providing researchers with powerful tools for reasoning under uncertainty in complex, relational domains. More recently, Singla has pioneered the development of neuro-symbolic programs for language-guided robot manipulation, addressing critical limitations of prior approaches by enabling robots to interpret natural language instructions and generate executable manipulation programs that generalize beyond hand-coded symbolic concepts. This line of work, spanning multiple publications from 2022 to 2024, reflects a sustained and evolving research agenda that pushes the boundaries of how robots learn, plan, and adapt. His 2024 work extends this vision further by tackling the challenging problem of automatic failure detection and recovery during plan execution — a crucial step toward truly autonomous robotic systems. With citations accumulating across theoretical and applied domains, Singla's research has made meaningful impact on both the AI and robotics communities. His work offers students and researchers a compelling roadmap for integrating symbolic reasoning with modern deep learning to build more robust, interpretable intelligent systems.