Daniel Fernando Tello Gamarra

About

Daniel Fernando Tello Gamarra is a prominent robotics and artificial intelligence researcher whose work sits at the intersection of autonomous mobile robot navigation, deep reinforcement learning, and computer vision. His research has made significant contributions to the development of intelligent navigation systems, with a particular focus on applying state-of-the-art machine learning techniques to real-world robotic challenges. Among his most influential contributions is his pioneering application of deep reinforcement learning algorithms to mobile robot navigation. His work on Soft Actor-Critic (93 citations) and Deep Deterministic Policy Gradient (51 and 18 citations) demonstrates a sustained commitment to advancing autonomous navigation through learned policies. Complementing this, his vision-based research—including the integration of the YOLO algorithm with RGBD sensors for obstacle detection (90 citations)—has provided practical frameworks for perception-driven robotics. Tello Gamarra has also produced notable comparative studies evaluating visual SLAM algorithms, object detection methods, and path planning strategies within the ROS ecosystem, offering the robotics community valuable benchmarking resources. His more recent work on the Jubileo social robot simulation framework (18 citations) reflects an expanding research vision into human-robot interaction. Collectively, his publications have garnered over 360 citations, establishing him as an important voice in modern autonomous robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Soft Actor-Critic for Navigation of Mobile Robots

   93 citations · 2021
2. 2
   Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm

   90 citations · 2019
3. 3
   Deep Deterministic Policy Gradient for Navigation of Mobile Robots in Simulated Environments

   51 citations · 2019
4. 4
   Comparison of Visual SLAM Algorithms ORB-SLAM2, RTAB-Map and SPTAM in Internal and External Environments with ROS

   22 citations · 2021
5. 5
   Comparison of the YOLOv3 and SSD MobileNet v2 Algorithms for Identifying Objects in Images from an Indoor Robotics Dataset

   21 citations · 2021
6. 6
   Analysis of Local Trajectory Planners for Mobile Robot with Robot Operating System

   20 citations · 2021
7. 7
   Jubileo: An Immersive Simulation Framework for Social Robot Design

   18 citations · 2023
8. 8
   Deep Deterministic Policy Gradient for Navigation of Mobile Robots

   18 citations · 2020
9. 9
   A Study on Global Path Planners Algorithms for the Simulated TurtleBot 3 Robot in ROS

   18 citations · 2020
10. 10
    Article Users Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for Controlling Movements of a Mobile Robot

    13 citations · 2019

Key Collaborators

Contact & Links