Anant Sciences

Infinite Learning for Autonomous Systems

Anant Sciences is a growing learning platform for rigorous and accessible education in autonomy, guidance, navigation, control, estimation, robotics, and multi-agent systems.

  • Air
  • Ground
  • Sea
  • Space
  • Robotics
  • Software

Why we exist

Our Mission

Anant Sciences exists to make advanced engineering education in autonomy, guidance, navigation, control, estimation, and multi-agent systems more accessible, practical, and connected to real-world engineering.

We combine rigorous theory with simulations, code, research, and carefully designed learning experiences so students, engineers, and lifelong learners can explore complex technical ideas at their own pace.

Our goal is to expand access to high-quality technical learning in autonomous systems through focused courses and carefully developed educational resources.

Areas of study

What We Teach

Connected disciplines for understanding how autonomous and intelligent systems perceive, decide, coordinate, and act.

Guidance, Navigation & Control

Plan motion, determine position, and follow desired trajectories.

State Estimation

Estimate hidden system states using models and uncertain sensor measurements.

Multi-Agent Systems

Study coordination, communication, and decisions across connected agents.

Autonomous Systems

Connect perception, planning, decision-making, and control.

Robotics

Explore the modeling, sensing, motion, and control of robotic systems.

Simulation & Digital Twins

Test algorithms and study behavior through computational models.

Custom technical education

Services

Focused courses can be tailored to the audience, technical depth, and schedule of a university, research group, or engineering team.

Guidance, Navigation & Control

Custom instruction connecting vehicle modeling, guidance laws, navigation, estimation, and feedback control.

Multi-Agent Systems

Courses on coordination, cooperative autonomy, networked decision-making, and control across multiple agents.

Distributed Estimation

Focused learning on collaborative state estimation, information sharing, localization, and uncertainty in networked systems.

Available formats

Semester-Length Course · One-Week Intensive · Three-Day Crash Course

Founder

Meet Rajnikant Sharma

Anant Sciences is shaped by extensive experience in engineering education, research, simulation, and autonomous systems.

Dr. Rajnikant Sharma

Founder, Anant Sciences

Autonomy • GNC • Estimation • Multi-Agent Systems

Dr. Rajnikant Sharma is an engineer, researcher, and educator with a Ph.D. in Electrical Engineering and more than a decade of university teaching experience.