The Robot Operating System (ROS) is gaining popularity in the robotics industry because it is an open-source platform that solves a common problem: trajectory calculation for complex, multi-axis machines. However, users are faced with the issue of sending the trajectory information in a reliable, deterministic way. Software libraries that handle the low-level EtherCAT and CANopen communications can bridge the gap between the controller and the drive, simplifying the overall development of complex motion control applications.
If the method of trajectory transmission is unreliable, undesired behavior may occur, such as choppy motion, damaged payloads, and error conditions. The DS402 Protocol for Motion Control has defined Interpolated Position Mode as a means of standardizing the control of multiple coordinated axes through the transmission of synchronization (SYNC) pulses and process data objects (PDO’s).
High-resolution trajectories result in high data rates that must be handled by both the controller and drive. Some controllers use real-time operating systems to deal with the high data rates. Another approach utilizes data buffers in the firmware of both the controller and drive to provide forgiveness for controller latency. In either case, engineers designing robotic systems will find that low-level software to process the data is necessary to achieve reliable, high performance motion control. Processing libraries such as the Copley Motion Library (CML) provide easy implementation that integrates seamlessly with the MoveIt2 API and utilizes the DS402 Protocol to deliver smooth, synchronous motion over the CANopen or EtherCAT networks.
Struggling to calibrate and localize your robots? Wrestling with sensor fusion and perception problems? Unable to drive close to walls or obstacles? Delocalizing in highly-aliased environments with other movers? Delocalizing when GPS is intermittent? Unable to deploy without GPS + RTK? Looking for a scalable solution to deploy more bots in more locations with fewer technicians? William Sitch at Main Street Autonomy feels your pain.
Commercials typically require multiple types of sensors to capture information about the physical world, which following fusion and further processing allows them to orient themselves, avoid obstacles, navigate, and provide additional information. Thankfully, solution providers continue to release low-cost, increasingly powerful products, and new sensing technologies are always emerging. In this panel, attendees will learn about the latest sensor advancements, including use cases highlighting important trends and techniques.
Unleashing the full potential of robotic performance hinges on a delicate balance between motion control component selection and robotic design. With a range of joint sizes and demanding applications, choosing the right combination can be challenging. Join us as we demystify the complexity and illuminate the path to optimized motion control.
Crack the code on Motor Selection: Dive into the critical factors impacting motor selection across joint sizes, from high-torque motors replacing hydraulics to miniature motors for smooth and precise end-effector motion.
Navigate the Integration of Motors into Your Robotics System: Uncover the secrets to seamless communication from feedback devices, ensuring optimal feedback and precise control.
Real-World Case Studies: Witness the power of optimized motion control system partnerships in action, from collaborative surgical robots to humanoids.
Innovation Spotlight: Discover the latest technologies in motion control, empowering you to build the next generation of robots that will disrupt the markets in need.
Join us as we unlock the hidden potential of your robotic systems. Learn how to engineer an optimized motor system and create robots with industry-leading performance.
Learn how tactile sensors can enable a gripper to apply the optimal grip force to hold any object and respond to dynamic loads. With this tactile feedback, the gripper will never grip too hard and break an item, nor will it grip insufficiently and drop an object. The gripper doesn’t even need prior knowledge of the object’s size, shape, weight, or packaging. The tactile sensors also enable complex robotic manipulation such as turning a handle and opening a door or inserting a USB cable. These tactile sensors could be the difference between a robot with the dexterity of a skilled person and a robot that is all thumbs. Come see for yourself how this crucial technology can help take robotic dexterity to the next level.
This talk will explore the driving forces behind the creation of depth sensors, which are now ubiquitous in robotics. We will discuss how the limitations of many popular 3D sensors have spurred the need for new hardware and approaches. Attendees will gain insights into the sensor design and algorithms that underpin depth sensor capabilities, such as self-calibration and depth precision metrics. This theoretical foundation will set the stage for a discussion of real-life sensor experiences obtained through use by partners and customers.