Aditya Bondada
Innovator, Engineer, Robot Whisperer.
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Where Machines Make Magic
A Glimpse into My Robotic Wonders
I am a seasoned Robotics Engineer with a robust background in both industry and academic settings. At ALOG Tech, I spearheaded projects that significantly boosted operational efficiencies by improving automation systems, leveraging my skills in MATLAB, ROS, and algorithm development.
My academic research at Northeastern University focused on enhancing robotic gait stability. Through advanced control systems and simulation techniques, I achieved notable improvements in bipedal robot performance, blending theoretical insights with practical engineering solutions.
Capture Point Control in Thruster-Assisted Bipedal Locomotion
In this project, I showcase the development of a controller utilizing capture point control for Harpy, a thruster-assisted walking model. This work delves into the innovative design avenues for controlling Harpy's locomotion.
Modular Autonomy using iPhone (i-SLAM)
I present a method for using an iPhone’s sensors, specifically the LiDAR, Camera, and IMU data streams, to perform simultaneous localization and mapping (SLAM) using LiDAR, visual SLAM, and dead reckoning.
Drone Controller Optimization Performance Comparison
In this project I developed a simulated drone control system in MATLAB focusing on stability and disturbance response. Employed advanced control strategies, including PID, Sliding Mode, and Backstepping, to optimize drone performance.
Behavior Cloning and Multi-Model Perception in Autonomous Cars
In this project I leveraged behavior cloning and sophisticated perception and planning algorithms to develop a self-driving car in Unity and CARLA, focusing on enhancing real-time decision-making and route planning.
Optimizing Gait Stability Control in a Three-Link Bipedal Robot
In this project I developed a three-link bipedal robot, optimizing its gait through advanced dynamic modeling and feedback control, ensuring stable and energetically efficient walking gaits.
Path Planning for Multi-Trailer Warehouse Robots
Here I created a comprehensive global path planning framework for robots towing multiple trailers, emphasizing obstacle avoidance and trajectory optimization. Utilized both theoretical models and practical simulations to validate the system's efficiency and scalability.
Dynamics of Multiple Pendulum System Under a Translating and Tilting Pivot
In this research project I analyzed the dynamics of multi-pendulum systems under translating and tilting pivots for high-precision inertial sensing.
Design and Optimization of Drone-Assisted Wildfire Fighting System
Developed and optimized a drone-assisted wildfire fighting system using ROS and Voronoi partitioning for efficient area coverage. Simulated in Gazebo with Hector Quadrotors equipped with thermal and RGB-D cameras for real-time fire detection.
Skills
My toolbox of expertise in robotics and automation.
Robotics Middleware (ROS)
Proficient in Robot Operating System for developing, simulating, and implementing robotic applications.
Simulation and Modeling
Experienced with Gazebo and MATLAB for robotic system simulation, testing, and validation.
Programming Languages
Skilled in C++, Python, and MATLAB for developing algorithms and software for robotics and automation.
Control Systems
Expertise in designing and implementing control systems for autonomous robots and multi-trailer navigation.
Sensor Integration
Knowledgeable in integrating sensors such as Lidar and RealSense cameras for navigation and obstacle avoidance.
Mechanical Design
Proficient in SolidWorks for designing mechanical components and assemblies for robotics applications.
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