PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns

NSH 1305

Abstract: Roadway congestion leads to wasted time and money and environmental damage. One possible solution is adding more roadway capacity, but this can be impractical especially in urban environments and still may not make up for a poorly-calibrated traffic signal schedule. As such, it is becoming increasingly important to use existing road networks more efficiently. [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Multimodal Representations for Adaptable Robot Policies in Human-Inhabited Spaces

NSH 4305

Abstract:  Human beings sense and express themselves through multiple modalities. To capture multimodal ways of human communication, I want to build adaptable robot policies that infer task pragmatics from video and language prompts, reason about sounds and other sensors, take actions, and learn mannerisms of interacting with people and objects. Existing solutions for robot policies [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Sensorized Soft Material Systems with Integrated Electronics and Computing

NSH 1305

Abstract: The integration of soft and multifunctional materials in emerging technologies is becoming more widespread due to their ability to enhance or improve functionality in ways not possible using typical rigid alternatives. This trend is evident in various fields. For example, wearable technologies are increasingly designed using soft materials to improve modulus compatibility with biological [...]

PhD Thesis Proposal
PhD Student
Robotics Institute,
Carnegie Mellon University

Towards Underwater 3D Visual Perception

Abstract: With modern robotic technologies, seafloor imageries have become more accessible to both researchers and the public. This thesis leverages deep learning and 3D vision techniques to deliver valuable information from seafloor image observations. Despite the widespread use of deep learning and 3D vision algorithms across various fields, underwater imaging presents unique challenges, such as [...]