AI for Spatial Intelligence
State-of-the-art AI-driven environment modeling and spatial cognition are crucial for advancing the capabilities of robots and autonomous systems.
SLAM
An integral part for highly precise spatial intelligence are techniques based on the strong mathematical foundation of simultaneous localization and mapping (SLAM).
Robotics
The integration of SLAM and AI with multimodal sensors and application-specific computing is essential for achieving high-performance robotic systems.
Our Vision
Robotic environment models face diverse challenges, particularly based on their distance from the robotic ego. These challenges stem from sensor limitations, computational constraints, and the specific application domain.
At Cognitial, we believe that that integrating classical SLAM with cutting-edge AI in an end-to-end approach can overcome these obstacles, enabling highly precise, dense, and computationally efficient environment models.
Fields of Expertise
Automated Driving
A fused, multi-sensor, multimodal representation of the environment, leveraging advanced AI techniques to deliver real-time, on-device situational awareness for downstream tasks.
Robotics for Intralogistics
Localization, environment modeling, and automation of robots for efficient parcel transportation in intralogistics applications.
Localization & Mapping
High-precision, feature-based self-localization combined with multimodal map generation for enhanced spatial awareness.
Parking Visualization
Mesh-based geometric reconstruction of the near-range environment using camera input for detailed spatial modeling.
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Testimonial
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Excelling Team
From Research to Reality
Dr. Borislav Antic
PhD in Computer Vision
Technical Lead with more than 12 years of experience in SLAM, Computer Vision, Machine Learning and AI.
Dr. Denis Tananaev
PhD in Mathematical Modeling, Numerical Methods
Technical lead in the field of artificial intelligence and robotics with 10+ years of experience in autonomous driving.
Vladislav Tananaev
Master in Computer Science
7+ years of experience with AI-based sensor fusion and SLAM in the field of automated driving and robotics.
Dr. Benjamin Höferlin
PhD in Computer Vision, Visualization
10+ years of experience in automated driving and robotics for intralogistics. Co-founded two startups.
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