Energy-efficient realtime motion planning
Motion planning is a fundamental problem in autonomous robotics with real-time and low-
energy requirements for safe navigation through a dynamic environment. More than 90% of …
energy requirements for safe navigation through a dynamic environment. More than 90% of …
Rosé: A hardware-software co-simulation infrastructure enabling pre-silicon full-stack robotics soc evaluation
Robotic systems, such as autonomous unmanned aerial vehicles (UAVs) and self-driving
cars, have been widely deployed in many scenarios and have the potential to revolutionize …
cars, have been widely deployed in many scenarios and have the potential to revolutionize …
Mavfi: An end-to-end fault analysis framework with anomaly detection and recovery for micro aerial vehicles
Safety and resilience are critical for autonomous unmanned aerial vehicles (UAVs). We
introduce MAVFI, the micro aerial vehicles (MAVs) resilience analysis methodology to …
introduce MAVFI, the micro aerial vehicles (MAVs) resilience analysis methodology to …
Circuit and system technologies for energy-efficient edge robotics
As we march towards the age of ubiquitous intelligence, we note that AI and intelligence are
progressively moving from the cloud to the edge. The success of Edge-AI is pivoted on …
progressively moving from the cloud to the edge. The success of Edge-AI is pivoted on …
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems
The adoption of autonomous swarms, consisting of a multitude of unmanned aerial vehicles
(UAVs), operating in a collaborative manner, has become prevalent in mainstream …
(UAVs), operating in a collaborative manner, has become prevalent in mainstream …
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips
I Dagli, ME Belviranli - Proceedings of the 29th ACM SIGPLAN Annual …, 2024 - dl.acm.org
Two distinguishing features of state-of-the-art mobile and autonomous systems are: 1) There
are often multiple workloads, mainly deep neural network (DNN) inference, running …
are often multiple workloads, mainly deep neural network (DNN) inference, running …
Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints
Cyber-physical systems (CPS) such as robots and self-driving cars pose strict physical
requirements to avoid failure. The scheduling choices impact these requirements. This …
requirements to avoid failure. The scheduling choices impact these requirements. This …
Zhuyi: perception processing rate estimation for safety in autonomous vehicles
The processing requirement of autonomous vehicles (AVs) for high-accuracy perception in
complex scenarios can exceed the resources offered by the in-vehicle computer, degrading …
complex scenarios can exceed the resources offered by the in-vehicle computer, degrading …
Agile development of Domain-Specific solutions for emerging mobile systems
B Boroujerdian - 2022 - repositories.lib.utexas.edu
Emerging mobile systems such as robots or Augmented Reality glasses increasingly interact
with their physical surroundings. This means they require efficient computing platforms to …
with their physical surroundings. This means they require efficient computing platforms to …
[PDF][PDF] An E2ED-based approach to custom robot navigation and localization
A Moreno, D Páez, F Martínez - International Journal of Advanced …, 2022 - academia.edu
Simultaneous mapping and localization or SLAM is a basic strategy used with robots and
autonomous vehicles to identify unknown environments. It is of great attention in robotics …
autonomous vehicles to identify unknown environments. It is of great attention in robotics …