Agricultural weeding is a costly and labor-intensive task, and chemical methods, while effective, are expensive and often have negative environmental consequences associated with them. Sensing a business opportunity and a chance for promoting social good, a number of companies offering robotic weeding systems have entered the market. Compared to traditional approaches, their solutions reduce the cost and environmental impact of weeding operations.
Autonomous Mobile Robots (AMRs) deployments are up substantially, with more to come. As the technology has proven to deliver business value, many new adopters are skipping long term pilot projects and moving directly to partial or full roll-outs.
The total number of robotics transactions held steady year over year, but the autonomous vehicle and manufacturing automation providers received less investment. Healthcare systems, field robots, and drones got funding in September 2020.
RBR’s offers hot takes on ONRobot’s sanding solution, Brain Corporation’s new CTO, the US DoD seeking sensing solutions, and the Dive Technologies / Virginia Tech partnership.
Despite the ongoing pandemic, robotics investment and acquisition activity did not slow down in August 2020, with funding flowing to autonomous vehicles, industrial automation, and drones.
At the September 10th RoboBusiness session, Interact Analysis’ Ash Sharma to reveal the critical business value attributes of autonomous mobile robots (AMRs) based on recent research studies, offerings of various AMR solution providers and case studies. Insight into the future of AMR technologies also provided.
Building on the success of the inaugural series, the RoboBusiness Direct Fall program will once again have robotics industry experts addressing critical robotics business development issues through an integrated series of online presentations and continuing media coverage and analysis.
Industrial Robot’s Joanne Pransky interviews Tessa Lau, CEO at Dusty Robotics about Dusty’s autonomous mobile robots that print layout plans onto the floors of job sites using information from building information models (BIM) as a guide.
AMR developer Waypoint Robotics and fulfillment and distribution services provider Advanced Handling Systems (AHS) recently announced new systems integrator partnership. Tim McCabe, Director of Business Development for Waypoint Robotics, and Dave Tavel, EVP for AHS, discuss what led to the alliance and the capabilities AMRs provide for fulfillment and distribution operations.
As retailers continue to adopt and roll out omni-channel distribution models, new logistical challenges arise, along with industrial automation technologies and techniques, including autonomous mobile robots, that can overcome them.
With machine learning, algorithms are automatically generated from large datasets, speeding the development and reducing the difficulty of creating complex systems, including robotics systems. While data at scale is what makes accurate machine learning ‘go’, the data used to train ML models must also be very accurate and of high quality.
Autonomous mobile robots (AMRs) have proven to increase the productivity and reduce the cost of warehouse automation operations. While the costs of AMRs continue to drop, even as their capabilities increase, there are often hidden, and sizable, costs associated with their deployment. Here’s what to look for, and how to mitigate their impact.
Even before the advent of the Covid-19, autonomous mobile robot companies, notably those producing robots for use in e-commerce fulfillment centers, factories and warehousing, were experiencing a boom in investment. The pandemic is only accelerating investments in the AMR market.
The emergence and rapid proliferation of collaborative robots have resulted in the proliferation of a new class of ‘lean’ integrators specially adapted to the needs of SMEs who wish to leverage automation. The lean integrator has evolved precisely to deliver robot installations that yield higher productivity at a lower price point, and that can be installed in a fraction of the time of a traditional robot work cell.
Cloud computing represents the most important horizontal innovation for the robotics industry to date, with the market for robot-related services powered by cloud computing reaching US$157.8 billion in annual revenue by 2030.
In June 2020, investment and acquisition activity picked up a bit for autonomous vehicles, mobile robots, healthcare systems, and industrial automation.
Interact Analysis’ Rueben Scriven reviews the grocery warehouse automation market in the context of Ocado, and discusses the likely impact of COVID-19 on the growth potential of the company and the sector overall.
Recent advances in machine and deep learning have improved SLAM techniques, leading to an increased richness in maps, with semantic scene understanding improving localization, mapping quality and robustness.
For robotics systems, “supervised autonomy”, readily available for implementation today, can be used as a bridging solution between teleoperation and full autonomy.
The novel coronavirus pandemic slowed global manufacturing as investors look to the future of transportation.
Despite strong economic headwinds from global shutdowns in response to the COVID-19 pandemic, some funding and merger activity continued in April 2020, particularly in healthcare, transportation, and manufacturing.
LogisticsIQ expects the overall revenues from the Warehouse Automation Market to increase from US $13 billion in 2018 to reach US $27 billion by 2025, at a CAGR of 11.7% (2019 to 2025).
While mobile robots for use in ecommerce and fulfillment centers have received most of the attention in recent times due to their sudden uptake, robotic fork trucks (forklifts) have been quietly and steadily growing in numbers, and represent one of the largest opportunities for suppliers of Automated Guide Vehicles (AGVs) and Autonomous Mobile Robots…