Skip to content
View Lucasmotabr's full-sized avatar
0 followers · 1 following
  • Tokyo, Japan
  • 11:31 (UTC -12:00)

Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

Organizations

@TeamSOBITS @Dot-labo

Block or report Lucasmotabr

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Lucasmotabr/README.md

Hi, I'm Lucas da Mota Bruno

M.S. student in the Hagiwara Lab at Soka University · Robotics researcher with Team SOBITS · Full-stack AI engineer at dot.labo

I build embodied-AI systems that connect language-level reasoning to uncertain evidence in the real world. My work spans service-robot planning, ROS 2 integration, perception and control, plus production AI software.

Focus

  • Robot planning: long-horizon task planning from natural language, including when a robot should act, observe, or replan.
  • Real-robot engineering: ROS 2 systems that connect navigation, manipulation, perception, and human interaction.
  • Production AI: reliable client-facing tools, automation, APIs, access control, and evaluation.

Selected work

Project Contribution Evidence
LLM chaining for service robots Designed and evaluated a two-stage planner for RoboCup@Home GPSR tasks; validated on a Toyota HSR. RSJ 2026 presentation · GCCE 2026 paper
RoboCup service-robot systems Integrated planning, perception, navigation, manipulation, and interaction with Team SOBITS; contributed targeted ROS 2 reliability improvements. Team SOBITS · Soka University RoboCup 2026 report
Production AI at dot.labo Build full-stack AI tools, from user flows and APIs to evaluation, billing, persistence, and recovery. Client work is private and described in my portfolio.

Skills

Python C++ TypeScript React PostgreSQL Docker Git

Robotics: ROS 2 · Nav2 · TF2 · SMACH · URDF/xacro · PCL · YOLO/SAM3 integration · LiDAR/RGB-D tracking
AI and software: LLM systems · evaluation · FastAPI · React/Next.js · Hono/Bun · PostgreSQL/Supabase · Playwright

Research and communication

  • Presented LLM Chaining-Based Task Planning for GPSR Tasks at the 13th Intelligent Home Robotics Workshop, University of Tokyo, December 2025.
  • First author: Evaluation of the Effectiveness of LLM Chaining for Long-Horizon Task Planning in General-Purpose Service Robots — RSJ 2026.
  • First author: Design and Evaluation of LLM Chaining-Based Task Planning for General Purpose Service Robots — IEEE GCCE 2026.
  • Featured in CAPA magazine's Portuguese-language interview on AI and robotics for Brazilians in Japan.

Connect

LinkedIn · Team SOBITS · Email

Popular repositories Loading

  1. ros_tutorial ros_tutorial Public

    C++

  2. neuron-simulation neuron-simulation Public

    Python

  3. Lucasmotabr Lucasmotabr Public

    Robotics and embodied AI engineering profile