Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

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 …

Despite many recent efforts, accelerating robotic computing is still fundamentally
challenging for two reasons. First, robotics software stack is extremely complicated …

Motion planning aims to compute the high-quality and collision-free robotic trajectory. To
solve the planning problems defined in varying dimensional sizes, motion planners …

Robotics applications have hard time constraints and heavy computational burdens that can
greatly benefit from domain-specific hardware accelerators. For the latency-critical problem …

Despite extensive efforts, existing approaches to design accelerators for optimization-based
robotic applications have limitations. Some approaches focus on accelerating general matrix …

RACOD is an algorithm/hardware co-design for mobile robot path planning. It consists of two
main components: CODAcc, a hardware accelerator for collision detection; and RASExp, an …

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 …

As robots increasingly permeate modern society, it is crucial for the system and hardware
research community to bridge its long-standing gap with robotics. This divide has persisted …

Stereo vision is widely deployed on robots and drones to enable depth estimation at a low
cost. The combination of lightweight deep neural network (DNN) and cost volumes algorithm …