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Edgar GranadosOsegueda

Mid-level Robotics Researcher specializing in kinodynamic motion planning

Rutgers, USAFall Instructor7 years experienceMid-LevelRoboticsAutonomous VehiclesArtificial Intelligence
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About

Robotics software engineer focused on real-time estimation/control and motion replanning, currently integrating a factor-graph-based estimation/control stack with sampling-based replanning in a ROS environment validated on both MuSHR hardware and MuJoCo simulation. Strong in distributed-system debugging (rosbags/logging, controlled test scenarios) and ROS performance patterns (nodelets, TF/TF2), with prior multi-robot experience from SSL RoboCup using custom UDP protocols.

Experience

Fall InstructorRutgers University
Stow InternAmazon Robotics
Motion Planning InternOutrider Inc.
Teaching/Graduate AssistantRutgers University
Part Time ProfessorInstituto Tecnológico Autónomo de México (ITAM)

Education

Rutgers Universitydoctorate, Computer Science
Instituto Tecnológico Autónomo de México (ITAM)master, Computer Science (2019)
Instituto Tecnológico Autónomo de México (ITAM)bachelor, Computer Engineering (2017)

Key Strengths

  • Integrating factor-graph estimation/control with sampling-based replanning in ROS
  • Real-robot and simulation validation (MuSHR + MuJoCo) with end-to-end integration testing
  • Systematic debugging of distributed real-time robotics via logging/rosbags and controlled test scenarios
  • Performance-focused integration of prior work into responsive, fast robotic systems
  • ROS architecture optimization using nodelets for efficient large-message (image) transport
  • Pose-estimation pipeline using multi-camera ArUco tags with TF/TF2 for reliable frame/pose publishing
  • Built ROS-to-MuJoCo interface package (sensor publishing + control execution)
  • Experience with multi-robot comms using UDP over WiFi with a custom protocol (SSL RoboCup)

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Languages

SpanishEnglishFrench

Skills

CC++LispBashPythonMATLABJavaVHDLVerilogPrologRPHPEigenBoostCMake