Satoshi Suzuki

Associate Professor

Chiba University

Japan

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Satoshi Suzuki is an Associate Professor at Chiba University in Japan. His research primarily focuses on autonomous systems, including UAV navigation and control, object tracking, and robotic manipulators. Recent articles highlight his work on high-precision landing techniques, reinforcement learning applications in challenging environments, and innovative control strategies for unmanned aerial vehicles. Through his contributions, he aims to advance the field of robotics and autonomous technologies.

Articles (20)

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2025

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2022

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2022

Collaborators (3)

Saori Tanaka

Chiba University

JAPAN

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Akio Namiki

Chiba University

JAPAN

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Zhiwei Gao

Associate Professor

Northumbria University

UNITED KINGDOM

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Satoshi Suzuki

Research Interests

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About

Articles (20)

6D Object Tracking Using Multi-Camera Fast-PWP3D

Intelligent Impedance Strategy for Force–Motion Control of Robotic Manipulators in Unknown Environments via Expert-Guided Deep Reinforcement Learning

Vision/INS/Altimeter-Based Navigation and Control for Autonomous Drones in Indoor Environments

Autonomous UAV-Based System for Scalable Tactile Paving Inspection

Model-Free UAV Navigation in Unknown Complex Environments Using Vision-Based Reinforcement Learning

High-Precision Landing on a Moving Platform Based on Drone Vision Using YOLO Algorithm

Sliding Mode Control Approach for Vision-Based High-Precision Unmanned Aerial Vehicle Landing System Under Disturbances

UAV trajectory tracking under wind disturbance based on novel antidisturbance sliding mode control

Historical and Current Landscapes of Autonomous Quadrotor Control: An Early-Career Researchers’ Guide

Frequency-Based Robust Control for Micro Quadrotors Flying in Narrow Vertical Spaces

Chattering Reduction of Sliding Mode Control for Quadrotor UAVs Based on Reinforcement Learning

Design and Implementation of UAV Velocity Controller Based on Reference Model Sliding Mode Control

Design and Application of a UAV Autonomous Inspection System for High-Voltage Power Transmission Lines

Model-Free Guidance Method for Drones in Complex Environments Using Direct Policy Exploration and Optimization

Dynamic obstacle avoidance for Multi-rotor UAV using chance-constraints based on obstacle velocity

Review of Biomimetic Approaches for Drones

Frequency-Based Wind Gust Estimation for Quadrotors Using a Nonlinear Disturbance Observer

Robust Control Strategy for Quadrotor Drone Using Reference Model-Based Deep Deterministic Policy Gradient

Deep learning with RGB and thermal images onboard a drone for monitoring operations

Siamese Transformer Network: Building an autonomous real-time target tracking system for UAV

Collaborators (3)

Saori Tanaka

Akio Namiki

Zhiwei Gao

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