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Alejandro Bordallo

5 accepted papers

2020

FPR - Fast Path Risk Algorithm to Evaluate Collision Probability

RA-L 2020

As mobile robots and autonomous vehicles become increasingly prevalent in human-centred environments, there is a need to control the risk of collision. Perceptual modules, for example machine vision, provide uncertain estimates of object location. In that context, the frequently made assumption of a

Cited by 7SourceScholar
2017

Physical symbol grounding and instance learning through demonstration and eye tracking

ICRA 2017poster

It is natural for humans to work with abstract plans which are often an intuitive and concise way to represent a task. However, high level task descriptions contain symbols and concepts which need to be grounded within the environment if the plan is to be executed by an autonomous robot. The problem…

Cited by 30SourceScholar
2016

Automatic configuration of ROS applications for near-optimal performance

IROS 2016poster

The performance of a ROS application is a function of the individual performance of its constituent nodes. Since ROS nodes are typically configurable (parameterised), the specific parameter values adopted will determine the level of performance generated. In addition, ROS applications may be distrib…

Cited by 15SourceScholar
2016

Task Variant Allocation in Distributed Robotics

RSS 2016poster

We consider the problem of assigning software pro- cesses (or tasks) to hardware processors in distributed robotics environments. We introduce the notion of a task variant, which supports the adaptation of software to specific hardware con- figurations. Task variants facilitate the trade-off of func…

2015

Counterfactual reasoning about intent for interactive navigation in dynamic environments

IROS 2015poster

Many modern robotics applications require robots to function autonomously in dynamic environments including other decision making agents, such as people or other robots. This calls for fast and scalable interactive motion planning. This requires models that take into consideration the other agent's…

Cited by 32SourceScholar