pranaypalem pranaypalem

Skill Set

Reinforcement Learning (RL):
- Experienced in designing and training RL algorithms (Q-learning, DQN, PPO, etc.) for robotic control tasks.
- Implemented RL solutions for path-following, pick-and-place, and motion optimization.
SLAM (Simultaneous Localization and Mapping):
- Familiar with indoor and outdoor mapping and localization tools like GMapping, Hector SLAM, and RTAB-Map.
- Skilled at integrating sensor data (LIDAR, depth cameras) for robust map building and pose estimation.
ROS (Robot Operating System):
- Proficient in setting up ROS-based development environments, creating custom nodes, and leveraging ROS tools (rviz, rqt, rosbag).
- Experienced with simulation in Gazebo and real-world deployment on robotic platforms.
Robotic Perception:
- Skilled in using libraries such as OpenCV and PCL for object detection, feature extraction, and point cloud processing.
- Developed perception pipelines for tasks like environmental mapping and scene understanding.
Foldable Robotics:
- Researched and developed prototypes focusing on foldable mechanisms for efficient manufacturing and compact deployment.
- Explored novel materials and designs to enable portable, space-saving robotic solutions.
Artificial Potential Field (APF):
- Implemented APF-based navigation for mobile robots, enhancing obstacle avoidance and path planning.
- Experimented with optimizing APF to mitigate common issues like local minima.