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
โCustom-designed and developed Fixed-wing UAV with vertical takeoff and landing capabilities for payload delivery and surveillance missions
Flagship Projects
Hexapod
This project aims to develop an hexapod robot capable of omni-directional locomotion and obstacle climbing.โ
Autonomous Driving Platform
โThe robot aims to accomplish A to B navigation with obstacle avoidance
โwithin 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 Workshop๐ง๐ต๐ฒ ๐ฝ๐ฎ๐ฝ๐ฒ๐ฟ ๐ผ๐ป โ๐๐ป๐ต๐ฎ๐ป๐ฐ๐ถ๐ป๐ด ๐๐ผ๐ป๐๐ฒ๐ ๐ ๐ง๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐ผ๐ป๐๐ฟ๐ฎ๐๐โ ๐ต๐ฎ๐ ๐ฏ๐ฒ๐ฒ๐ป ๐ฎ๐ฐ๐ฐ๐ฒ๐ฝ๐๐ฒ๐ฑ ๐ฎ๐ ๐๐ต๐ฒ ๐ก๐ฒ๐๐ฟ๐๐ฃ๐ฆโ๐ฎ๐ญ ๐ฃ๐ฟ๐ฒ-๐ฟ๐ฒ๐ด๐ถ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐ฟ๐ธ๐๐ต๐ผ๐ฝ. 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…