Aerial Robotics Research Lab
Head: Dr. Raja Vara Prasad
Email: yrv.prasad@iiits.in
Objective

To encourage research in interdisciplinary areas of research primarily combination of Computer Vision, Unmanned Aerial Vehicles
(UAV), Internet of Things and Digital Twins to address challenges in Precision Agriculture, Smart Cities, Smart Manufacturing
applications

Faculty
No Name of Faculty Area of Specialization
1

Dr. Raja Vara Prasad
yrv.prasad@iiits.in

Wireless Sensor and Actuator Networks (WSAN), Protocols for Internet of Things (IoT), Digital Twins, Unmanned Aerial Vehicles (UAVs), Sensor Fusion: WSN and Computer Vision (CV)
2

Dr. Kandimalla Divyabramham
divyabramham.k@iiits.in

Computational Electromagnetics:High-Frequecy Asymptotic Techniques, Hybrid Method (Method of Moments - Uniform Theory of Diffraction), Electromagnetic Scattering: Radar Cross-Section Studies, Design of Passive Components for Wireless Applications
3

Dr. Priyambada Subudhi
priyambada.s@iiits.in

Computer Vision, Image Processing, Image Segmentation, Machine learning
Sponsored Projects
No Title PI and Co-PIs Duration Amount (Rs.) Funding Agency
1

Advanced Aerial Mapping (AAM) Rider: Yield Detection System for Mango Farms using UAVs

Dr. Raja Vara Prasad
Dr. Kandimalla Divyabramham
Dr. Priyambada Subudhi

July 2021 to
July 2024

50 Lakhs

TiHAN-IIT
Hyderabad
2

Design and Fabrication of Autonomous Passenger Drone

Dr. Raja Vara Prasad

July 2019 to
July 2022

36 Lakhs

MeitY
Publications
  • Krishna Mohan, Divyabramham, Raja Vara Prasad, “Modeling Path Loss in Structured Mango Orchards: An Empirical Approach in
    Accordance with IEEE 802.11 Standards” accepted in  ICEAA / IEEE APWC conference 2024, Lisbon Portugal.
  • Hari Chandana, Priyambada, Raja Vara Prasad, “An integrated color and texture feature based mango ripening stage classification
    from thermal imaging “ accepted in CVMI 2024
  • K. K. Tiwari, V. Gowthukatla, S. Avadhootha, Y. R. V. Prasad and Kandimalla Divyabramham, ”Experimental Study of Outdoor Radio
    Wave Propagation Scenario Near the L-Shaped Building”, Presented at IEEE MAPCON 2022 in the month of December-2022.
  • Pichhika Hari Chandana, Priyambada Subudhi, Raja Vara Prasad Yerra, “MangoYOLO5: A fast and compact YOLOv5 model for mango
    detection” accepted and presented at CVMI 2022.
  • K. K. Tiwari, Y. R. V. Prasad and H. V. Raman, ”Performance Evaluation of LoRa in Mixed Environments of sparsely Distributed
    Vegetation and Urban scenarios” Publication details: 2022 IEEE 9th International Conference on Computational Intelligence and
    Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2022, pp. 1-6, DOI:
    10.1109/CIVEMSA53371.2022.9853709
  • K. K. Tiwari and R. V. P. Yerra, ”Wireless link Analysis of LoRa in vegetation and Semi urban scenarios,” 2022 Second International
    Conference on Interdisciplinary Cyber Physical Systems (ICPS), Chennai,India, 2022, pp. 74-80, doi: 10.1109/ICPS55917.2022.00022.

Other Prominent Details

PhD Students

Ms. Hari Chandana
Mr. Krishna Mohan

UG Honors students:

1. Kannan 2. Sharan Karthick 3. Mohammed Khalid

BTP Groups:

7 BTP groups of 2 students each

Workshop:

“Advanced Aerial mapping (AAM) Rider: Yield Detection System for Mango Farms using UAV” under NM-ICPS, DST, Govt. of India. 8 - 9th Sep, IIIT Sri City