Robotics Research Resident: Localization and Mapping (Bengaluru)

Robotics Research Resident: Localization and Mapping (Bengaluru)

08 Sep
|
Pace Robotics®
|
Bengaluru

08 Sep

Pace Robotics®

Bengaluru

About the Role:
We are seeking a high-caliber Post-Graduate to join our Robot Autonomy team in Bengaluru. This is an intensive 6-month residency designed for engineers with a Master’s degree who excel at applying first-principles physics to complex robotic challenges. You will be responsible for building highly accurate and accurate localization and mapping stack for our autonomous systems that will reliably help them navigate and plan their work in ever changing construction environments.

Key Responsibilities:
State Estimation: Develop and fuse multi-sensor pipelines (3D LiDAR, IMU, Wheel Odometry) using Factor Graphs, EKF etc. to provide a stable pose estimate at 100Hz+.
Point Cloud Registration: Implement and optimize scan-matching algorithms (ICP, NDT, or Feature-based) robust to dusty environments and feature-poor hallways.
Loop Closure & Optimization: Design robust loop closure detection to eliminate long-term drift, ensuring the robot can return to its homing position after a full-floor mission.
Life-Long Mapping:



Implement "Map Cleaning" or sub-mapping techniques to handle construction sites where geometry changes daily.
Manual Data Pipeline: Manage a data pipeline to build a local dataset of site geometries for off-site training and simulation.
Leverage latest Deep Learning/Machine Learning based techniques to develop robot’s decision making capabilities.
Collaborate closely with hardware teams to deploy solutions on physical robots.
Contribute to technical research and stay updated with the latest in 3D Robot Vision and SLAM literature.
Perform debugging, profiling and performance tuning for on-robot deployment.

Technical Requirements & Qualifications:
A Master's degree in a relevant field like Robotics, Control Systems, Mathematics, Computer Science, Electrical Engineering etc.
Strong understanding of SLAM concepts (Graph-based SLAM, Visual SLAM, LiDAR SLAM, etc.)
Proficient in sensor fusion using Kalman Filters, Particle Filters, or other probabilistic

📌 Robotics Research Resident: Localization and Mapping (Bengaluru)
🏢 Pace Robotics®
📍 Bengaluru

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