Computer Vision and Bio-inspired Robotics

The crossroads of computer vision and bio-robotics research merges artificial intelligence with nature-inspired drone technology. In computer vision, deep learning, including object detection, tracking, and image segmentation, empowers machines to interpret visual data. Generative Adversarial Networks (GANs) enhance the realism of computer-generated content. Simultaneously, bio-inspired robotics applies lessons from nature to enhance drone capabilities, mimicking the efficiency of living organisms. By emulating the flight patterns of birds and swarming behavior of insects, bio-robotics in drones achieves a harmonious blend of biological principles and technological innovation. This interdisciplinary synergy promises transformative breakthroughs, enabling machines to seamlessly navigate and interact with the world.

INTEREST(S)

Computer VisionDeep LearningImage ClassificationObject DetectionSegmentationGenerative Adversarial Network (GAN)

MODERATOR

DR. DEBAJYOTI KARMAKER

MISSION

Revolutionize technology by merging computer vision and bio-robotics, creating drones that seamlessly interpret visual data and emulate the efficiency of living organisms.

VISION

Pave the way for a future where AI-driven drones, inspired by nature, redefine the boundaries of autonomy, transforming how machines navigate and interact with the world.

MEMBER(S)

TANVIR AHMED
TANVIR AHMED
RIFATH MAHMUD
RIFATH MAHMUD
KAWSER IROM RUSHEE
KAWSER IROM RUSHEE
DR. MOUSHUMI ZAMAN BONNY
DR. MOUSHUMI ZAMAN BONNY
MD. MAHMUDUR RAHMAN
MD. MAHMUDUR RAHMAN
S M ABDULLAH SHAFI
S M ABDULLAH SHAFI
NAZIA ALFAZ
NAZIA ALFAZ
SIRAJUM MUNIRA SHIFAT
SIRAJUM MUNIRA SHIFAT
MD. SAEF ULLAH MIAH
MD. SAEF ULLAH MIAH
DR. DEBAJYOTI KARMAKER
DR. DEBAJYOTI KARMAKER
MD. NAZMUL HOSSAIN
MD. NAZMUL HOSSAIN
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