Daniil Pushkarev

Moscow Institute of Physics and Technology

Papers

Total Citations

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About

Daniil Pushkarev is a robotics researcher focused on intelligent control systems for mobile manipulators operating in human-oriented environments. His work addresses the critical challenge of enabling robots to autonomously perform complex tasks—such as door opening and trajectory tracking—while safely interacting with people. Pushkarev’s key contributions include a novel control architecture that integrates localization, mapping, and motion planning for mobile robotic manipulators, as detailed in his 2024 paper (5 citations). He has also advanced Model Predictive Control (MPC) by incorporating torque constraints for velocity-driven collaborative manipulators (2021, 5 citations), and developed a constrained-configuration strategy for door opening (2022, 4 citations). These works demonstrate practical solutions for real-world deployment, bridging the gap between theoretical control methods and hardware constraints. With a growing citation record, Pushkarev’s research is shaping the next generation of adaptive, human-aware robotics—essential for applications in manufacturing, healthcare, and service automation.