Passive Structured-Light Depth Perception for Surgical Robotics
Investigating depth recovery from projected patterns to support perception in constrained surgical robotics settings.
Robotics Research · Mechanical Engineering
Caden Page Incoming robotics PhD student and NSF Graduate Research Fellow.
I build robot learning, perception, and control systems for embodied autonomy, with interests in surgical robotics and reliable interaction in the physical world.
Featured projects
Technical systems and research-driven builds
Projects are the core of this portfolio: hardware, perception, learning, and robotics software developed toward capable embodied systems.
Rotom Robot Learning and Manipulation Platform
Developing a manipulation platform for collecting robot interaction data and evaluating learned behaviors.
Depth Estimation with Transformers, CNNs, and Uncertainty
Exploring learned depth estimation architectures with uncertainty-aware evaluation for reliable perception.
ROS 2 Remote Visualization and MoveIt Integration
Building robot software workflows for motion planning, remote visualization, and system integration.
Research interests
Robotics in complex physical environments
I am interested in methods that make robots more capable, data-efficient, and trustworthy when sensing and acting in the real world.
- 01 Robot learning
- 02 Surgical robotics
- 03 Perception for autonomy
- 04 Imitation learning and reinforcement learning
- 05 Sim-to-real transfer
- 06 Controls for embodied systems
Selected highlights
Research, education, and technical leadership
A concise record of the experiences supporting my developing research direction.
- NSF Graduate Research Fellow
- Incoming Mechanical Engineering PhD student at UT Austin
- B.S. Mechanical Engineering Honors, UT Austin
- Three-time Distinguished College Scholar, top 4% of the Cockrell School of Engineering
- Robotics and Business minors
- HERO Lab surgical robotics research
- Former Digital Fabrication Lead at Texas Invention Works
About
Mechanical engineering grounded in robotics research.
I am a mechanical engineering student at The University of Texas at Austin and an incoming Mechanical Engineering PhD student at UT Austin. My work is motivated by robots that can perceive, learn, and act robustly in demanding environments.
My experience spans surgical robotics research in HERO Lab and hands-on engineering leadership as a former Digital Fabrication Lead at Texas Invention Works.