Robotics

This group is an interdisciplinary research team constituted by academics from the Department of Electronic Engineering, the Department of Mechanical Engineering, the Department of Mathematics and the Product Design Department, from UTFSM, and the Department of Electrical Engineering, from the Pontificia Universidad Católica de Chile.

The team is involved in both applied and scientific research, covering the most important aspects of the robotics research field: hardware development, integration and programming, statistical and experimental validation and the final product or prototype design. The group is involved in the following topics: autonomous machinery for industrial processes (agriculture and mining), extero-ceptive sensors’ information processing, mechatronic designs, control systems, outdoors navigation strategies, human-robot interaction, GPS-free localization techniques, advanced mapping and 3D modeling and visualization. The team also has strong connections with the Australian Center of Field Robotics and the University of New South Wales (both from Australia), the University of Pisa (Italy), the Universidade Federal do Espírito Santo (Brazil) and Brunel University (England), among other recognized Institutions. In addition, the group has demonstrated active scientific production and leads the applied research efforts of the proposal for the agricultural and mining industry of Chile.


  • Farm automation technologies for seeding, fertilizing, pesticide management, pruning and harvesting; development of non-invasive sensors for crop monitoring and robotic-based technology for handling and packaging of fruit and vegetables.
  • Autonomous and tele-operated driving systems for mining machinery; base stations for worker’s remote training for underground mining; technology for improvement of workers safeness in mining processes and innovation in 3D modeling and visualization of underground mining.
  • Technology development for secondary processes in the industrial field, including fault-tolerant operation systems, wireless communications and energy management.

Meet the Work Team

Postdoctoral Researchers
Students

Master’s Students:

Octavio Águila, Pontifica Universidad Católica
Diego Muñoz, Pontificia Universidad Católica
José Moreno, Pontificia Universidad Católica
Jorge Cantillana, U. de Chile
Sebastián San Martín, UTFSM

Undergraduate Students:

Alberto Castro, Pontifica Universidad Católica
Alberto Castro, Pontificia Universidad Católica
Felipe Mejías, UTFSM
Felipe Díaz, UTFSM
Pablo Arce, UTFSM
Boris Villalobos, UTFSM
Mauricio Cáceres, UTFSM
Javier Chacón, UTFSM

Marcos Orchard

 
 

Research Line:
Robotics

Research Areas:

-Fault Diagnosis and Failure Prognostics in Nonlinear Dynamic Systems

-State Estimation in Non-Gaussian Dynamic Systems

-Automated Contingency Management Systems (Reconfigurable Control Systems)

Education:

Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology, USA (2007)

Master of Science, Georgia Institute of Technology, USA (2005)

Industrial Engineer, Pontificia Universidad Católica de Chile, Chile (2001)

Bachelor in Sciences, Pontificia Universidad Católica de Chile, Chile (2000)

Institution: Universidad de Chile

Email:
morchard@ing.uchile.cl

Personal Website:
https://scholar.google.cl/citations?user=1SHHThYAAAAJ&hl=en

Marcelo Soto

Research Line:

Robotics

Research Areas:

-Fiber Optic Sensors (Distributed and Point Sensors)

-Optical Pulse Coding Techniques

-Optical Signal Processing

-Fiber Optic Amplification Systems

Education:

Ph.D. in Innovative Technologies of ICT Engineering (Telecommunications), Scuola Superiore Sant’Anna di Pisa, Italy

M.S. in Electronic Engineering, Universidad Técnica Federico Santa María (UTFSM), Chile

B.S. in Electronic Engineering, Universidad Técnica Federico Santa María (UTFSM), Chile

Institution: UTFSM

Email:
marcelo.sotoh@usm.cl

Personal website:

https://scholar.google.com/citations?user=_6PE3GsAAAAJ&hl=es

Fernando Auat Cheein

 

Research Line:
Robotics

Research Areas:

– Mobile Robots
– Estimation Theory
– Computational Intelligence
– Control Systems
– Probabilistic Robotics
– Planning and Path Planning
– Robotic and Technological Assistance
– SLAM (Simultaneous Localization and Mapping)

Education:

Doctor in Control System Engineering, National University of San Juan, Argentina (2009)

Master in Control System Engineering, National University of San Juan, Argentina (2005)

Electronics Engineer, National University of Tucumán, Argentina (2002)

Institution: Harper Adams University

Email:
f.auat@hw.ac.uk

Personal website:

https://scholar.google.com/citations?user=glxar60AAAAJ&hl=es

Miguel Torres

 

Research Line:
Robotics

Research Areas:

Dynamic Systems and Robotics: Analysis, Modeling, and Control of Strongly Nonlinear Systems

Computer Vision / Image Processing: Stereo 3D Reconstruction, Depth Estimation, Image Dewarping, Panoramic Vision, Image Segmentation of Synthetic Aperture RadarSignal Processing, System Identification, Neural Networks, Data Fusion for Target Tracking

Motion Control, Actuators, Sensors, Perception, Task Planning, and Learning for Industrial and Field Robots

Education:

Ph.D. in Electrical Engineering (Systems and Control), McGill University, Centre for Intelligent Machines, Canada (2003)

M.Sc. Eng. in Industrial-Electrical Engineering (Automation and Signal Processing), Pontificia Universidad Católica de Chile, Chile (1998)

B.Sc. Eng. in Industrial-Electrical Engineering, Pontificia Universidad Católica de Chile, Chile (1996)

Institution: Pontificia Universidad Católica de Chile

Email:
mtorrest@ing.puc.cl

Personal website:
https://scholar.google.com/citations?user=fPtaU1YAAAAJ&hl=es

José Delpiano

 

Research Line:
Robotics

Research Areas:

-Computer Vision: Motion Analysis, Optical Flow Estimation and Analysis

-Bioimage Analysis (Electron and Light Microscopy)

Education:

Ph.D. in Electrical Engineering, Universidad de Chile, Chile (2013)

B.Sc. in Electrical Engineering, Pontificia Universidad Católica de Chile, Chile (2003)

Institution: Universidad de Los Andes

Email:
jfd@uandes.cl

Personal website:

https://scholar.google.co.uk/citations?user=-T_EJhYAAAAJ&hl=en

Xiaopeng Xi

 

Research Line:
Robotics

Research Areas:

-Fault diagnosis.

-Reliability analysis.

-Lifetime prediction.

Education:

Ph.D. in Science and Control Engineering, Tsinghua University, China (2020).

Bachelor’s in Sensing Technology, Guidance, and Control, Beijing Institute of Technology, China (2015).

Institution: UTFSM

Supervisor: Marcos Orchard

Email:
xi.xiaopeng@usm.cl

Personal website:

https://scholar.google.com/citations?user=3KpcH9QAAAAJ&hl=zh-CN