
Vihaan Misra
PhD Student in Robotics | Carnegie Mellon University
I am a second-year PhD student in Robotics at the Robotics Institute at Carnegie Mellon University in the Bot-Intelligence Group. I completed my Master's in Robotics at CMU in August 2025 with my thesis on Natural Language-Driven Shape Arrangement Synthesis. Prior to CMU, I received my bachelor's in electrical engineering with a minor in AI from Netaji Subhas University of Technology.
My research focuses on integrating foundational models with robotic systems through the lens of 3D computer vision and graphics. I develop frameworks that enable robots to understand and manipulate their environment using multimodal inputs, bridging the gap between high-level semantic understanding and physical manipulation. Specifically, I create generative AI tools that transform abstract concepts into spatially-aware 2D and 3D representations, allowing robots to perform complex visual reasoning and physical interactions.
Research Interests
Robotics
Developing intelligent robotic systems that can perceive, learn from, and interact with the physical world.
Multimodal AI
Developing AI systems that can process and generate content across different modalities like vision, sound, and language.
Creative AI
Building AI tools that can generate innovative visual content by incorporating various inputs like emotions and sounds.
Foundational Models
Researching and developing large-scale models that serve as foundations for various downstream applications.
Publications

ShapeShift: Towards Text-to-Shape Arrangement Synthesis with Content-Aware Geometric Constraints
Preprint, 2025




Sketch-to-Image Synthesis using Semantic Priors
RISS Working Papers' Journal | Robotics Institute Summer Scholars Journal (2022)

A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic
Scientific Reports | Nature Publications (2022)

Robotics in Industry 4.0
Handbook of Smart Materials, Technologies, and Devices: Applications of Industry 4.0 | Springer (2021)

Improving non-deterministic uncertainity modelling in Industry 4.0 scheduling
Preprint (2021)