From Concept to Reality: How Robots Are Building Homes
The construction industry, long known for its reliance on manual labor and traditional techniques, is undergoing a quiet yet monumental
Robotics and Mapping With LocoTerra
LocoTerra is a cutting-edge robotic platform featuring omni-directional Mecanum wheels, LIDAR sensors, and gesture control technology, allowing for precise movement and intuitive control. It is perfect for students eager to learn about mapping, navigation, and real-world robotics applications.
Hands-On Programming with Python
LocoTerra can be programmed by students using Python to solve advanced robotics challenges like autonomous decision-making and algorithm design. This includes tasks like dynamic mapping with LIDAR and path-planning, fostering skills in logic, computational thinking, and problem-solving. Through this hands-on learning experience, they develop computational thinking, logic, and problem-solving skills essential for STEM education success.
Precision Mapping and Autonomous Navigation
LocoTerra’s advanced LIDAR sensors and Mecanum wheels allow students to navigate complex environments with precision. LIDAR technology enables accurate real-time mapping, obstacle detection, and environmental scanning, while omni-directional movement ensures seamless navigation. This hands-on application of robotics mirrors technologies used in autonomous vehicles, environmental monitoring, and logistics.
Comprehensive STEM Learning
LocoTerra’s combination of LIDAR sensors, gesture control, and autonomous navigation supports interdisciplinary STEM learning. The connections between robotics, AI, data science, and engineering can be explored by students, offering a holistic approach to modern technology education. By tackling real-world challenges with cutting-edge technologies like LIDAR, they gain critical insights into how robotics is transforming industries, making this platform a powerful tool for high school STEM curriculums.
One Dynamic Curriculum For All Classroom Robots
Evidence-based curricular interventions and rigorously tested content that free teachers to focus on teaching.
Scale from weeks to multi-year pathways for CS, STEM, and CTE Programs.
Research-backed pedagogical approaches that support differentiation, project-based, collaborative, and individualized learning.
Short videos provide visual engagement with code examples, physical concepts, and computer science principles.
Worksheets, mini-projects, and capstone projects with a scientific approach, critical thinking, and multidisciplinary applications.
Teacher guides, course rubrics, code examples, and solution videos for formative and summative assessment.
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The evolution of supply chain management has always been about reducing costs and improving efficiency. Today, warehouse robotics are transforming
LiDAR in Robotics: Real-World Applications for STEM Students
LiDAR technology has rapidly advanced, bringing transformative possibilities across diverse fields like environmental conservation, autonomous vehicles, and urban planning. For
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Well-tested, rigorous, and loved by teachers, aligned to national and state Computer Science Standards
