Haasith Venkata Sai Pasala

Robotics Systems Engineer · ROS2 · SLAM · Sim-to-Real · Isaac Lab · MuJoCo · IEEE RA-L published

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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

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.