Daniel Pinheiro Leal

About

Daniel Pinheiro Leal is a leading researcher in the intersection of robotics and reconfigurable computing, with a primary focus on FPGA acceleration for autonomous systems. His work bridges the critical gap between hardware acceleration and modern robotic software frameworks, particularly through the integration of FPGAs with ROS2 (Robot Operating System 2). Leal’s major contributions include the development of **Forest**, an open-source tool that automates the generation of ROS2 nodes for high-level synthesis-based FPGA modules, dramatically simplifying the integration of custom hardware into robotic systems (15 citations). He has also pioneered the acceleration of reinforcement learning agents on FPGAs for real-time robot control, addressing strict latency, power, and cost constraints in real-world deployments (11 citations). His research directly enables more efficient, low-latency robotic perception and control loops, making advanced AI-driven robotics viable in resource-constrained environments. Leal’s work is notable for its practical, open-source contributions that empower other researchers and engineers to leverage FPGA acceleration without deep hardware expertise, positioning him as a key figure in the emerging field of hardware-software co-design for autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Automated Integration of High-Level Synthesis FPGA Modules with ROS2 Systems

   15 citations · 2020
2. 2
   FPGA Acceleration of ROS2-Based Reinforcement Learning Agents

   11 citations · 2020

Key Collaborators

Contact & Links