Indra Kishor
Papers
4
Total Citations
28
H-Index
3
About
Indra Kishor is pioneering the integration of artificial intelligence with autonomous robotics to solve real-world challenges in renewable energy and human-robot collaboration. His key research areas span AI-driven predictive maintenance, emotion-aware interaction systems, and IoT-enabled autonomous navigation. Kishor’s most impactful work proposes an AI-integrated robotic system for solar panel cleaning and predictive maintenance, combining drones and ground-based units to combat dust accumulation and overheating in harsh environments—a critical contribution to improving photovoltaic efficiency in dusty, high-temperature regions. This paper has already garnered 17 citations since its 2025 publication. He further advances human-robot interaction through the Emotion–Context Reinforced Planner, a framework that enables robots to adapt behaviors in real-time based on emotional cues and context, enhancing social coherence and task planning. Kishor also explores voice-enabled, self-learning systems for dynamic collaboration and IoT-driven navigation for smart campuses and urban mobility. His work, though recent, demonstrates significant potential to reshape sustainable energy maintenance and socially intelligent robotics, marking him as an emerging leader in adaptive autonomous systems.
Research Focus
Key Achievements
Top Papers
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