Embodied AI · Research Lab

The cognition engine for embodied intelligence.

CerebrumFlow is a research group studying how machines perceive, reason, and act in the physical world. We connect perception, planning, and control into a single loop — and ask how the result can move from simulation into real robots, reliably and repeatably.

Our work sits at the intersection of robotic perception, motion planning, and learned control. We publish in the robotics and learning venues, release the datasets and benchmarks that make our results reproducible, and keep a long view toward machines that reason about their own actions.

PERCEIVE sensory fusion PLAN reasoning & search ACT whole-body control belief state trajectory act on the world · observe the result
The perceive–plan–act loop at the centre of the lab’s work. Perception builds a belief state; planning turns it into a trajectory; control executes it and returns new observations.
Recent work

Selected publications

ICRA 2026

FlowBench: A Benchmark for Embodied Perceive–Plan–Act Systems

E. Vasquez, P. Raghavan, D. Okafor, S. Whitmore

IEEE International Conference on Robotics and Automation
IROS 2026

A Unified Token Interface for Perception, Planning, and Control

E. Vasquez, M. Lindqvist, Y. Tanaka

IEEE/RSJ International Conference on Intelligent Robots and Systems
CoRL 2025

Latent World Models for Contact-Rich Manipulation

D. Okafor, E. Vasquez, S. Whitmore

Conference on Robot Learning
ICRA 2025

Perceive–Plan–Act with Predictive Uncertainty in Cluttered Scenes

P. Raghavan, E. Vasquez

IEEE International Conference on Robotics and Automation
All publications →
People

A small, senior team.

Six researchers with backgrounds across planning, control, and learning — plus the engineering needed to turn results into running systems.

Meet the team →
Open source

Reproducible by default.

We release the benchmarks, datasets, and software behind our papers, so others can build on the same ground truth we do.

Browse the releases →