Designing cyber-physical systems is a complex task which requires insights at multiple
abstraction levels. The choices of single components are deeply interconnected and need to …

This paper addresses the lower limits of encoding and processing the information acquired
through interactions between an internal system (robot algorithms or software) and an …

We consider the problem of co-designing embodied intelligence as a whole in a structured
way, from hardware components such as propulsion systems and sensors to software …

This article examines the selection of a robot's actuation and sensing hardware to minimize
the cost of that design while ensuring that the robot is capable of carrying out a plan to …

Typically to a roboticist, a plan is the outcome of other work, a synthesized object that
realizes ends defined by some problem; plans qua plans are seldom treated as first-class …

This paper discusses the integration challenges and strategies for designing mobile robots,
by focusing on the task-driven, optimal selection of hardware and software to balance safety …

When designing autonomous systems, we need to consider multiple trade-offs at various
abstraction levels, and the choices of single (hardware and software) components need to …

Currently there do not exist general-purpose robots, and the procedures by which robots are
designed are often ad hoc. Additionally, designers must deal with considerations including …

Reduction of combinatorial filters involves compressing state representations that robots
use. Such optimization arises in automating the construction of minimalist robots. But exact …

To treat sensing limitations (with uncertainty in both conflation of information and noise) we
model sensors as covers. This leads to a semilattice organization of abstract sensors that is …