Daniel Oliva Sales

About

Daniel Oliva Sales is a robotics and computer vision researcher whose work has made significant contributions to autonomous navigation, intelligent perception systems, and mobile robotics. His research spans indoor and outdoor robotic navigation, sensor fusion, deep learning for environmental perception, and autonomous vehicle development — areas of growing importance in modern robotics and artificial intelligence. Sales is perhaps best known for his work on vision-based navigation systems, combining artificial neural networks (ANN) and finite state machines (FSM) to enable robots to interpret and respond to complex environments. His 2012 paper on indoor navigation using the Kinect sensor garnered 107 citations, establishing him as a notable voice in low-cost 3D perception for mobile robots. His contributions to the CaRINA Intelligent Robotic Car project — a fully architectured autonomous vehicle platform — attracted 100 citations and demonstrated his ability to bridge theoretical robotics with real-world applications. His later work incorporating deep learning for traffic sign detection and 3D scene analysis reflects a forward-thinking adaptation to emerging AI methodologies. Across his career, Sales has consistently tackled foundational robotics challenges — from obstacle avoidance and topological mapping to swarm intelligence — accumulating over 350 citations and helping shape the trajectory of intelligent autonomous systems research.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile Robots Navigation in Indoor Environments Using Kinect Sensor

   107 citations · 2012
2. 2
   CaRINA Intelligent Robotic Car: Architectural design and applications

   100 citations · 2014
3. 3
   Adaptive finite state machine based visual autonomous navigation system

   40 citations · 2014
4. 4
   3D Vision-Based Autonomous Navigation System Using ANN and Kinect Sensor

   20 citations · 2012
5. 5
   Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning

   18 citations · 2018
6. 6
   Vision-Based Autonomous Navigation System Using ANN and FSM Control

   15 citations · 2010
7. 7
   Topological autonomous navigation for mobile robots in indoor environments using ANN and FSM

   14 citations · 2011
8. 8
   Template-based autonomous navigation and obstacle avoidance in urban environments

   14 citations · 2011
9. 9
   Template-based autonomous navigation in urban environments

   12 citations · 2011
10. 10
    Swarm intelligence and the quest to solve a garbage and recycling collection problem

    11 citations · 2013

Key Collaborators

Contact & Links