Kashish Garg

Chandigarh University, University of Pennsylvania

Papers

2

Total Citations

12

H-Index

2

About

Kashish Garg is a researcher at the intersection of robotics, artificial intelligence, and wireless communication. Their work addresses critical challenges in autonomous systems, from pandemic response to multi-robot coordination. Garg’s most cited paper, “Robotics and Drone-Based Solution for the Impact of COVID-19 Worldwide Using AI and IoT” (2021, 10 citations), demonstrates how integrated robotic and drone technologies can be leveraged for real-world crisis management, showcasing the practical impact of their research. More recently, in “Opportunistic Communication in Robot Teams” (2024, 2 citations), Garg introduces a novel approach to Mobile Infrastructure on Demand (MID), where a dedicated team of robots dynamically creates and sustains a wireless network to support task-oriented robots operating in communication-denied environments. This work is pivotal for enabling robust coordination in disaster zones, exploration, and other scenarios where traditional infrastructure is unavailable. By combining AI, IoT, and opportunistic networking, Garg’s contributions advance the reliability and autonomy of multi-robot systems, offering scalable solutions for both emergency response and long-term deployment in challenging terrains.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotics and Drone-Based Solution for the Impact of COVID-19 Worldwide Using AI and IoT
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chandigarh University, University of Pennsylvania

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago