Austine R.Oloo

I am a Computer Science PhD student specializing in Embodied AI. My research bridges high-level symbolic reasoning and low-level sensorimotor control to enable intuitive Human-Robot Interaction — creating robotic systems that collaborate safely and naturally with people. I actively explore how modern foundation models can be grounded in robotic systems as powerful interfaces for perception and action.

AdvisorProf. Shiqi Zhang

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01Research Focus

Building Intelligent
Mobile Manipulators

My work sits at the intersection of robotics, computer vision, and AI — with a particular emphasis on their applications in the context of mobile manipulators.

Spatial Intelligence for Robotics

Empowering Robots to Understand the Real World

Developing methods that enable robots to build rich, semantic understanding of 3D environments — fusing geometric perception with high-level reasoning so that mobile manipulators can interpret scenes, localize objects, and plan actions grounded in spatial awareness.

3D Scene UnderstandingSemantic MappingActive PerceptionFoundation Models

Skill Learning for Robotics

Enabling Robots to Transform the Real World

Building frameworks for robots to acquire, compose, and generalize manipulation skills — bridging symbolic task planning with learned sensorimotor policies so that mobile manipulators can perform complex, multi-step tasks in unstructured environments.

Task & Motion PlanningSkill CompositionSim-to-Real TransferHuman-Robot Interaction

02Selected Work