What is IvLabs
IvLabs serves as a platform for students from different engineering backgrounds to collaborate and work together with the utmost team spirit and avidity to bring innovative ideas into reality.
What we do
We strive to study and improve technologies that advance the fields of robotics and AI. We use our cross-domain knowledge, to create and innovate. We teach and inspire new students through workshops and mentor-based programs, transferring knowledge and creating new leaders to propel innovation.
Current Projects
Natural Language Processing
NLP works with sequential data, primarily text, and makes it possible for computers to comprehend human languages.
VTOL Fixed-wing UAV
Custom-designed and developed Fixed-wing UAV with vertical takeoff and landing capabilities for payload delivery and surveillance missions
Face Gesture
Laptop Control
A Human computer interaction project with Facial Expressions as input modality.
Flagship Projects
Hexapod
This project aims to develop an hexapod robot capable of omni-directional locomotion and obstacle climbing.
Autonomous Driving Platform
The robot aims to accomplish A to B navigation with obstacle avoidance
within our institute campus
Garuda
A custom built quadcopter, capable of delivering a package from one point to another autonomously.
2013
Since
100+
Current Members
25+
Research Papers
5+
Patents Filed
Current Team
Alumni Reach
Recent News and Developement
- DRDO Scientist Prahlada Ramarao Visits IvLabs: Insights & InspirationWe had the incredible opportunity to host Dr. Prahlada Ramarao, the distinguished Indian missile scientist and former Director of the Defence Research and Development Laboratory (DRDL), at IvLabs, VNIT Nagpur. His visit was a moment of great honor and inspiration, as he shared his wisdom and insights with our team. Dr. Ramarao took a keen…
- Paper Accepted at NeurlPS’21 Workshop𝗧𝗵𝗲 𝗽𝗮𝗽𝗲𝗿 𝗼𝗻 “𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗖𝗼𝗻𝘁𝗿𝗮𝘀𝘁” 𝗵𝗮𝘀 𝗯𝗲𝗲𝗻 𝗮𝗰𝗰𝗲𝗽𝘁𝗲𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗡𝗲𝘂𝗿𝗜𝗣𝗦’𝟮𝟭 𝗣𝗿𝗲-𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽. Founded in 1987, NeurIPS is one of the most renowned conferences in machine learning and computational neuroscience, with an h-index of 192.The paper proposes a novel pipeline that focuses on maximizing Mutual Information between representations of sentences that share similar…