Robohub.org
podcast
 

Mining Automation with Martin Adams


by
12 July 2013



share this:

In today’s episode we speak with Martin Adams from the University of Chile about using robots in the mining industry. Mining is a dangerous job that would strongly benefit from robotic helpers. To drive this effort, the mining industry funded the Advanced Mining Technology Centre (AMTC). As the principal investigator there, Adams explores the use of robotic technologies such as mapping and SLAM that would be essential in mining automation. He also tells us why he chose to do robotics in South America.

Codelco_shovel_loader

Martin Adams
Martin Adams is the principle investigator in the industrially sponsored Advanced Mining Technology Centre (AMTC). He is also Professor of Electrical Engineering at the Dept. of Electrical Engineering, University of Chile. In, 1988, he obtained his first degree in Engineering Science at the University of Oxford, U.K and continued to study for a D.Phil. at the Robotics Research Group, University of Oxford, which he received in 1992. He continued his research in autonomous robot navigation as a project leader and part time lecturer at the Institute of Robotics, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. From 1996 to 2000, he served as a senior research scientist in robotics and control, in the field of semiconductor assembly automation, at the European Semiconductor Equipment Centre (ESEC), Switzerland. From 2000 to 2010, he was Associate Professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore.

His research work focuses on autonomous robot navigation, sensing, sensor data interpretation and control, and he has published many technical papers in these fields. He has been the principle investigator and leader of many robotics projects, coordinating researchers from local industries and local and overseas universities and has served as associate editor on various journal and conference editorial boards.

Links:



tags: ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.





Related posts :

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

and   12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

  10 Feb 2026
Sven honoured for his work on AI planning and search.

Robot Talk Episode 143 – Robots for children, with Elmira Yadollahi

  06 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Elmira Yadollahi from Lancaster University about how children interact with and relate to robots.

New frontiers in robotics at CES 2026

  03 Feb 2026
Henry Hickson reports on the exciting developments in robotics at Consumer Electronics Show 2026.

Robot Talk Episode 142 – Collaborative robot arms, with Mark Gray

  30 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Mark Gray from Universal Robots about their lightweight robotic arms that work alongside humans.

Robot Talk Episode 141 – Our relationship with robot swarms, with Razanne Abu-Aisheh

  23 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Razanne Abu-Aisheh from the University of Bristol about how people feel about interacting with robot swarms.

Vine-inspired robotic gripper gently lifts heavy and fragile objects

  23 Jan 2026
The new design could be adapted to assist the elderly, sort warehouse products, or unload heavy cargo.

Robot Talk Episode 140 – Robot balance and agility, with Amir Patel

  16 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Amir Patel from University College London about designing robots with the agility and manoeuvrability of a cheetah.


Robohub is supported by:





 













©2026.01 - Association for the Understanding of Artificial Intelligence