15 Robotics Research Topics for High School Students

Robotics is an interdisciplinary field that combines engineering, computer science, mathematics, and artificial intelligence to design systems that can sense, process information, and perform tasks. If you're interested in robotics, pursuing a research project can help you explore advanced concepts while developing technical skills in programming, design, data analysis, and problem-solving. Research also gives you the opportunity to investigate emerging technologies and contribute your own ideas to a rapidly evolving field.

Why should I do robotics research in high school?

Robotics research allows you to move beyond classroom learning and examine how intelligent systems are designed, tested, and improved. Depending on your topic, you might develop prototypes, analyze sensor performance, build computer vision models, explore human-robot interaction, simulate robotic systems, or investigate applications in healthcare, manufacturing, and autonomous technologies. These experiences can help you strengthen your technical skills, gain exposure to research methodologies, and deepen your understanding of how robotics is shaping the future of technology.

To help you get started, we've compiled 15 robotics research topics for high school students.

If you’re looking for online summer research programs, check out our blog here.

Key takeaways

• These topics span hardware-focused builds (self-balancing robots, biomimetic grippers, soft robotics prototypes), software and AI projects (computer vision for object sorting, emotion-responsive robots, SLAM), and human-robot interaction (gesture control, voice control, assistive robotic gloves).

• Several projects connect robotics to other fields, including biomedical engineering (assistive robotic glove, soft robotics for minimally invasive surgery) and psychology (emotion-responsive robots), making them strong fits for students with interdisciplinary interests.

• Sensor-based projects like comparing ultrasonic and Lidar sensors, SLAM mapping, and adaptive speed control build skills directly relevant to robotics competitions involving obstacle courses and navigation challenges.

• Some topics, like swarm robotics simulation, are recommended to be explored through simulation software rather than physical robots, due to the cost and complexity of building multiple robots.

• Students interested in pursuing one of these topics as a structured, mentored research paper can apply to the Lumiere Research Scholar Program, which pairs high schoolers with PhD mentors over a 12-week independent research project.

1. Computer Vision for Object Sorting 

This project leverages existing technologies, such as robotic arms, to develop enhanced features and use cases. You’ll program a robot arm or other movement system to sort objects based on features such as shape, size, or color. You’ll draw from research techniques in AI and computer vision, connecting robotics to two major fields of technology. To streamline your development process, you can draw on algorithms from OpenCV (Open Source Computer Vision Library), helping you learn to engage with advanced code. You can then test your model's classification accuracy and explore whether factors such as lighting conditions, background colors, or the distance between objects affect performance.

2. Biomimetic vs Traditional Robotic Grippers

This research topic tests different iterations of robot grippers and develops a model inspired by real life. You’ll 3D print two different gripper styles, one commonly used in robotics and another inspired by the grasp of an animal, such as a mammal’s claws or geckos’ adhesive feet. You’ll test whether biomimetic graspers can perform more effectively in varied contexts, similarly to animals’ adaptive traits, by comparing the performance of traditional grippers and your biomimetic models. Beyond the innovation of integrating biology with robotics, gripping features have applications across industry, from manufacturing to assistive technology, making it a good option for exploring developments in modern robotics. 

3. Energy Efficiency in Mobile Robots

For this project, you’ll experiment with methods to increase the energy efficiency of mobile robots, such as drones or rovers. You’ll work with a mobile robot — either of your own design or an existing model — and test how both internal and external elements, such as terrain, motor speed, wheel type, or slope, affect battery consumption. From there, you can develop a predictive model for energy and power optimization, allowing you to determine the energy required for a given journey. If you’re looking for an added challenge, you can apply your data and predictions to develop hardware modifications to increase efficiency or battery performance.

4. Gesture-Controlled Robotics

For this project, you’ll work within the growing field of human-robot interaction to develop an efficient way for robots to process and respond to human gestures. You’ll utilize computer vision algorithms, which you can design independently or develop from open source libraries, to develop software allowing robots to respond to hand movements. After developing an initial prototype, you can experiment with additional features, such as recognition of more complex gestures, completion of a series of tasks from a gesture sequence, or functionality at greater distances from the robot.

5. Assistive Robotic Glove

This research topic focuses on assistive technology — using robotics to simplify tasks for people with disabilities — through a wearable device. You’ll develop a glove that enhances the wearer's grip strength, using technology for joint movement and positioning, such as robotic servomotors. You can iterate on your design to balance functionality with comfort, enabling long-term wear while delivering meaningful strength gains. If you’re interested in other forms of assistive technology, this project could also be adapted to support other limb or joint functions. This project connects robotics with biomedical engineering while also building competence with hardware used in industrial engineering, automation, and other technical fields. 

6. Swarm Robotics Simulation for Cooperative Task Completion

This research topic studies the relative efficiency of centralized and decentralized robotic control. You’ll engage with the subfield of swarm robotics, modeled after the behavior of insects like ants and bees, which uses a multi-robot system to collaboratively complete tasks. You’ll develop a task for the robot(s) to complete, such as moving objects, and simulate its completion with both a single robot and a decentralized swarm of small robots. You can compare the efficiency of each system and test modifications to optimize your swarm’s performance, such as adjusting the size or number of robots. This technology is used for industry applications across defense, manufacturing, medicine, search-and-rescue, and more. Using simulation software is recommended due to the complexity and cost of acquiring and/or building a large number of robots; however, if you’re able to experiment with physical robots, real-world testing can be an exciting path.    

7. Self-Balancing Robot

For this project, you’ll draw on concepts from physics and technology to develop a functional robot that can stabilize itself. You’ll construct a robot that “stands” on one or two wheels (modeled like a bicycle, unicycle, or Segway), utilizing devices like gyroscopes and accelerometers. You can also integrate PID (Proportional–integral–derivative) controller technology into your design, using tuning features to minimize oscillations during stabilization. You’ll apply skills in control theory, dynamic systems, and mechanics, strengthening your physics, mathematics, and robotics skills.

8. Comparing Ultrasonic and Lidar Sensors

This research topic addresses two common sensor types — ultrasonic and Lidar (Light Detection and Ranging) — used for precise robot navigation. These sensors feature remote sensing technology, allowing your robot to accurately measure distances, map environments, and sense objects and obstacles. After integrating the sensors into your robot, you’ll test each system within an obstacle course of your design and analyze differences in accuracy and efficiency. This project has strong applications in robotics competitions, which often include obstacle-course navigation challenges. 

9. Voice-Controlled Human-Robot Interaction

This project draws from the growing field of human-computer interaction and natural language processing to create voice-responsive robots. For your research approach, you can integrate speech recognition models into a human-controlled robot to enable voice-powered responses alongside preexisting software or hardware controls. For an additional challenge, you can evaluate command recognition rates across more settings, such as noisy or outdoor environments, compared to smaller rooms.

10. Soft Robotics Prototype

In a different approach to the field, this project focuses on soft robotics rather than traditional, inflexible structures. You’ll build a flexible silicone actuator capable of lifting or grasping objects using hydraulic or pneumatic energy. You’ll test your prototype’s durability, flexibility, and ability to complete its programmed tasks compared to standard rigid actuators. As soft robotics offers greater flexibility and customizability, these systems are used in settings such as minimally invasive surgery and the navigation of complex, confined spaces, enabling you to apply your research to larger-scale biomedical or industrial engineering projects. This project will require significant hands-on fabrication, making it best suited for students seeking intensive, building-focused projects.

11. SLAM (Simultaneous Localization and Mapping) in a Small Indoor Space

In this project, you’ll utilize Simultaneous Localization and Mapping (SLAM) software to train a robot to map a small room and track its position within the space. You’ll use sensor data to improve the robot’s performance and iterate on your design by comparing mapping accuracy across different sensor configurations. SLAM software is commonly used by robots, drones, and autonomous vehicles, making this project closely aligned with current industry innovations. 

12. Adaptive Robot with Smart Speed Control

In this project, you’ll design a small line-following robot with adaptive speed control that adjusts its speed based on track conditions, such as slowing on curves and speeding on straight sections. You’ll integrate core robotics concepts, including PID control and feedback systems, which have wide-ranging industry applications, such as drones and industrial automation. You can enhance your research by testing performance improvements through iterative work, analyzing error rates, or comparing time efficiency in fixed-speed versus adaptive-speed robots. 

13. Emotion-Responsive Robots

For this project, you’ll merge robotics and psychology by developing software to identify and respond to human emotions. You’d use human photos and videos to train an AI model to classify emotions by facial expression, then test its identification accuracy and the alignment of its responses with appropriate emotional responses. This software could ultimately be used in human-robot interactions to generate responses tailored to a person’s emotional state. You can deepen your research by considering the philosophical questions raised by emotion-responsive technologies. Some directions to consider include analyzing the potential harms of incorrect emotion identification and the ethics of using human data for model training.

14. Robotic Arm Precision Improvement Through Feedback Loops

This project presents an opportunity to engage with current robotic technologies by identifying and addressing areas for improving the precision of robotic arm movements. You’ll work with sensors to measure positioning errors in existing robotic arms. You can then experiment with open- and closed-loop feedback systems to improve movement accuracy, comparing your updated systems to the original data collected.

15. Designing a Path-Following Robot for Efficient Navigation 

With this research topic, you’ll integrate robot design, engineering, and navigation systems to create an optimized robot to follow a marked path. You’ll utilize sensor technologies to allow your robot to map its path and environment, then iterate on your design to increase efficiency. Your modifications can include differences in speed, sensor placement, track design, wheel shapes, and more.

Frequently asked questions

What are good robotics research topics for high school students?

Strong topics depend on a student's interests and resources. Students interested in hardware might consider biomimetic grippers or self-balancing robots, those interested in AI might explore computer vision for object sorting or emotion-responsive robots, and those with limited equipment access might consider swarm robotics simulation.

Do robotics research projects for high schoolers require expensive equipment?

Not necessarily. Some projects, like swarm robotics simulation, are explicitly recommended using simulation software rather than physical robots due to cost and complexity, while others, like SLAM mapping or sensor comparison projects, can often be built with relatively accessible components.

Which robotics research topics connect to biomedical engineering?

The assistive robotic glove project and the soft robotics prototype project both connect robotics to biomedical applications, with soft robotics specifically noted for use in minimally invasive surgery and navigating confined spaces in medical settings.

What skills do robotics research projects help high schoolers develop?

Depending on the topic, students build skills in programming, computer vision, sensor integration, control theory, and data analysis. Projects involving feedback loops and PID control, like the self-balancing robot or adaptive speed control robot, also strengthen physics and mathematics skills.

Which robotics research topics involve ethical or philosophical considerations?

The emotion-responsive robots project specifically invites students to explore the ethics of using human data for model training and the potential harms of incorrect emotion identification, making it a strong option for students interested in the societal implications of AI.

How can I turn a robotics research topic into a structured research paper?

Students interested in formalizing one of these topics into an independent research paper can apply to the Lumiere Research Scholar Program, which pairs high schoolers with PhD mentors over a 12-week project culminating in a completed research paper.

One other option—the Lumiere Research Scholar Program

If you’re interested in pursuing independent research, consider applying to one of the Lumiere Research Scholar Programs, selective online high school programs for students founded with researchers at Harvard and Oxford. Last year, we had over 4,000 students apply for 500 spots in the program! You can find the application form here, check out students’ reviews of the program here and here.

Also check out the Lumiere Research Inclusion Foundation, a non-profit research program for talented, low-income students. Last year, we had 150 students on full need-based financial aid!

Stephen is one of the founders of Lumiere and a graduate of Harvard College, where he earned an A.B. in Statistics. He founded Lumiere as a PhD student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.