A survey of fpga-based robotic computing
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
A survey of domain-specific architectures for reinforcement learning
M Rothmann, M Porrmann - IEEE Access, 2022 - ieeexplore.ieee.org
Reinforcement learning algorithms have been very successful at solving sequential decision-
making problems in many different problem domains. However, their training is often time …
making problems in many different problem domains. However, their training is often time …
Automatic domain-specific soc design for autonomous unmanned aerial vehicles
Building domain-specific accelerators is becoming increasingly paramount to meet the high-
performance requirements under stringent power and real-time constraints. However …
performance requirements under stringent power and real-time constraints. However …
Scaling compute is not all you need for adversarial robustness
E Debenedetti, Z Wan, M Andriushchenko… - ar** autonomous and secure devices that can gather, process, and …
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
Autonomous systems, such as Unmanned Aerial Vehicles (UAVs), are expected to run
complex reinforcement learning (RL) models to execute fully autonomous position …
complex reinforcement learning (RL) models to execute fully autonomous position …
Analyzing and improving fault tolerance of learning-based navigation systems
Learning-based navigation systems are widely used in autonomous applications, such as
robotics, unmanned vehicles and drones. Specialized hardware accelerators have been …
robotics, unmanned vehicles and drones. Specialized hardware accelerators have been …
Accmer: Accelerating multi-agent experience replay with cache locality-aware prioritization
Multi-Agent Experience Replay (MER) is a key component of off-policy reinforcement
learning (RL) algorithms. By remembering and reusing experiences from the past …
learning (RL) algorithms. By remembering and reusing experiences from the past …
[BOOK][B] Robotic computing on fpgas
This book provides a thorough overview of the state-of-the-art field-programmable gate array
(FPGA)-based robotic computing accelerator designs and summarizes their adopted …
(FPGA)-based robotic computing accelerator designs and summarizes their adopted …