Haasith Venkata Sai Pasala
Robotics Systems Engineer · ROS2 · SLAM · Sim-to-Real · Isaac Lab · MuJoCo · IEEE RA-L published
Hyderabad, India
I’m a Robotics Systems Engineer and Lead for the Robotics Division at Clove Technologies, working across reinforcement learning, legged autonomy, and computer vision. My work spans Isaac Lab and MuJoCo simulation, learning-based locomotion, ROS2 autonomy stacks (Nav2, FAST-LIO), and intelligent video surveillance pipelines leveraging classical CV and Vision-Language Models (VLMs).
My research on robotic throwing manipulation was published in IEEE Robotics and Automation Letters (RA-L) and IEEE/ASME Transactions on Mechatronics, and featured twice in IEEE Spectrum.
I have engineered autonomy stacks and state estimation pipelines for complex legged platforms (Unitree Go2W, Boston Dynamics Spot) across GPS-denied industrial environments using FAST-LIO, Nav2, and whole-body control frameworks.
Core Competencies
Hardware & Mechanism Design
Novel hybrid end-effectors, multi-DOF prosthetics, Actuator Characterization
Control Systems
Trajectory Optimization, Real-time PID algorithms, Dynamic Control Formulation
Autonomy & Perception
Quadruped Autonomy (Nav2), Visual SLAM, Multi-Camera Tracking & VLMs
Embedded Software
Production Firmware (C++), Hardware-Software Integration, ROS/ROS2 Automation
Featured Robotics Research
A Novel Hybrid Gripper Capable of Grasping and Throwing (IEEE T-MECH)
Learning-Based Control for Targeted Throwing (IEEE RA-L)
News
| May, 2026 | Joined Clove Technologies as Robotics Engineer (Lead for the Robotics Division), spearheading reinforcement learning pipelines in Isaac Lab and advanced locomotion policies for robotic platforms. |
|---|---|
| Oct, 2024 | The work related to this Paper IDENTIFICATION AND LEARNING-BASED CONTROL OF AN END-EFFECTOR FOR TARGETED THROWING, Featured on the IEEE Spectrum. |
| Sep, 2024 | The Paper IDENTIFICATION AND LEARNING-BASED CONTROL OF AN END-EFFECTOR FOR TARGETED THROWING has been accepted in IEEE Robotics and Automation Letters |
| Aug, 2024 | Our paper Identification and Learning-Based Control of an End-Effector for Targeted Throwing was accepted in IEEE Robotics and Automation Letters (RA-L) and featured on IEEE Spectrum (October 2024)! |
| Apr, 2023 | The work related to this Paper A NOVEL HYBRID GRIPPER CAPABLE OF GRASPING AND THROWING MANIPULATION, Featured on the IEEE Spectrum. |