Harish Sharma | Robotics | Innovative Research Award

Innovative Research Award

Harish Sharma
Indian Institute of Information Technology Pune
            Harish Sharma
Affiliation Indian Institute of Information Technology Pune
Country India
Subject Area Robotics
Event Technology Scientists Awards
ORCID 0009-0002-5046-9010

The Innovative Research Award recognizes scholarly engagement in robotics and intelligent systems research. This academic profile presents an overview of the research identity, publication relevance, scholarly contributions, and broader impact associated with Harish Sharma at the Indian Institute of Information Technology Pune within the context of contemporary robotics research and scientific recognition.[1]

Abstract

This article documents the academic recognition associated with the Innovative Research Award and highlights research interests connected to robotics and intelligent autonomous systems. The profile emphasizes contributions toward adaptive robotic planning, dynamic navigation strategies, and publication engagement in contemporary robotics literature. It presents a structured overview of scholarly identity, research outcomes, publication alignment, and the significance of scientific contribution within emerging technology ecosystems while maintaining a neutral academic perspective suitable for scholarly presentation and institutional visibility.[1][2]

Keywords

Robotics, Adaptive Path Planning, Autonomous Systems, Dynamic Navigation, Intelligent Algorithms, Research Recognition, Technology Awards, Scholarly Publications.

Introduction

Robotics research continues to advance through integration of adaptive planning methods, autonomous control strategies, and intelligent decision frameworks. Academic recognition programs acknowledge contributions that support reproducibility, technical rigor, and practical relevance across evolving robotic environments and multidisciplinary technological applications.[1]

Research Profile

Harish Sharma is presented in association with the Indian Institute of Information Technology Pune and a scholarly profile connected to robotics-oriented research. The profile reflects participation in research dissemination and engagement with contemporary developments in intelligent and autonomous technological systems.[2]

Research Contributions

Research contributions represented in this profile align with robotic navigation and adaptive planning concepts. Emphasis is placed on approaches that improve operational responsiveness in changing environments and support methodological development for autonomous movement, localized decision processes, and intelligent task execution.[1][2]

Publications

The publication record associated with this recognition highlights engagement with peer-reviewed scholarship addressing robot path planning, optimization methods, and adaptive decision architectures. Publications contribute to ongoing discussions concerning efficient robotic behavior under dynamic environmental conditions.[1]

Research Impact

Research impact is evaluated through dissemination, scholarly visibility, and methodological relevance. Work associated with robotics and adaptive systems supports future investigation into autonomous technologies and encourages integration of intelligent computational approaches across scientific and engineering domains.[2]

Award Suitability

Recognition through the Innovative Research Award aligns with demonstrated scholarly engagement, publication relevance, and contribution to robotics research themes. Evaluation criteria emphasize academic quality, technical significance, and sustained participation in advancing contemporary scientific knowledge.[1]

Conclusion

This academic article presents a structured overview of research recognition and scholarly positioning within robotics. The profile emphasizes publication relevance, contribution orientation, and alignment with broader scientific objectives that support innovation and continued advancement in intelligent robotic systems.[1][2]

References

  1. Transformer-enhanced deep Q-Learning for adaptive robot path planning in dynamic environments. (2026). Cluster Computing.
    https://doi.org/10.1007/s10586-026-06072-2
  2. Dynamic multi-robot coverage framework via A*-optimized region patrolling and localized re-planning. (2026). International Journal of Advanced Robotic Systems.
    https://journals.sagepub.com/doi/full/10.1177/17298806261429541
  3. ORCID. (n.d.). Researcher identifier profile.
    https://orcid.org/0009-0002-5046-9010

Shaohui Lei | Service AI | Best Researcher Award

Assist. Prof. Dr. Shaohui Lei | Service AI | Best Researcher Award

Dr, Southwest Jiaotong University, China.

Dr. Shaohui Lei is an Assistant Professor at the School of Economics and Management, Southwest Jiaotong University, China. His research specializes in service marketing, consumer behavior, and technology-enabled service interactions, particularly focusing on the behavioral impact of artificial intelligence in service environments. He has authored impactful articles in prestigious journals including Journal of Business Ethics, Journal of Service Research, Applied Psychology, Journal of Business Research, and International Journal of Hospitality Management. Dr. Lei’s interdisciplinary research uniquely blends behavioral science, marketing theory, and AI technology, addressing timely issues such as customer misbehavior in robotized service settings. His work continues to advance the frontier of human-AI interaction and its implications for ethical, psychological, and practical aspects of modern service economies.

🌐Author Profile

🏆 Strengths for the Award

  1. Focused Expertise in Service Marketing & Consumer Behavior
    Dr. Lei’s research centers on timely and high-impact areas such as service robot personas, customer misbehavior, and ethical consumer interactions—critical to both academic inquiry and real-world service industries.

  2. Publications in High-Impact Journals
    His work has appeared in prestigious peer-reviewed journals such as:

    • Journal of Business Ethics

    • Journal of Service Research

    • Applied Psychology

    • Journal of Business Research

    • International Journal of Hospitality Management

    • Journal of Product & Brand Management
      This reflects scholarly credibility and sustained contributions to his field.

  3. Innovative and Interdisciplinary Research
    The study “Servant” versus “Partner”: Investigating the effect of service robot personas on customer misbehavior demonstrates a forward-thinking integration of AI, robotics, and behavioral marketing, offering novel insights into human-machine interaction.

  4. Global Relevance and Practical Applications
    His research addresses consumer behavior patterns that are increasingly relevant in a tech-driven global service economy, particularly amid the rise of AI and automation in retail and hospitality sectors.

🎓 Education 

Shaohui Lei completed his academic training with a focus on management science and behavioral research. While the exact institutions and degree progression are not detailed in the CV, his academic path reflects rigorous preparation in marketing, consumer psychology, and applied economics. He has developed a strong academic foundation enabling cross-disciplinary contributions at the intersection of management and emerging service technologies. His education likely includes a PhD in a relevant domain—such as Business Administration, Marketing, or Psychology—and postgraduate specialization in service operations and behavior. This academic trajectory supports his current research output, which integrates empirical methods with theoretical frameworks to study customer behavior in technologically mediated environments.

🔬 Research Focus on Service AI

Dr. Lei’s research explores the intersection of service marketing, consumer behavior, and artificial intelligence, focusing on how consumers interact with AI-driven service technologies like robots and virtual agents. He investigates customer misbehavior, perception, and trust in service contexts shaped by human-machine dynamics. His studies offer insights into how robot personas (e.g., servant vs. partner roles) affect customer behavior, with implications for designing AI interactions that balance efficiency, ethics, and user satisfaction. His research also addresses psychological drivers behind unethical or deviant behaviors in service encounters. Dr. Lei leverages experimental designs and behavioral modeling to produce actionable knowledge that supports AI deployment in retail, hospitality, and public services. This line of inquiry contributes both to theory development and managerial decision-making in an increasingly digitized service landscape.

📚Publication Top Notes

“Servant” versus “Partner”: Investigating the Effect of Service Robot Personas on Customer Misbehavior

  • Authors: Shaohui Lei

  • Published In: Journal of Business Research

  • Summary:
    This article examines how the assigned role of a service robot—whether perceived as a “servant” or a “partner”—influences customer misbehavior. Using behavioral experiments, Dr. Lei and colleagues uncover that customers are more likely to act disrespectfully or abusively toward robots that adopt a submissive “servant” persona. In contrast, partner-like robots foster mutual respect and reduce misconduct. The findings illuminate the psychological and ethical dimensions of AI-driven service experiences and provide actionable design recommendations for businesses integrating robots into frontline operations. This work contributes to service marketing, ethical AI design, and human-robot interaction literature.

Conclusion

Dr. Shaohui Lei is a highly suitable candidate for the Best Researcher Award, particularly in fields intersecting consumer behavior, service marketing, and technology-enabled service environments. His robust publication record in top-tier journals, combined with his innovative focus on ethical and behavioral implications of service automation, mark him as a thought leader in his domain. With strategic