Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

AI in warehousing: Akash Gupta’s vision for the future

AI in warehousing: Akash Gupta’s vision for the future

GreyOrange is leading a transformation in warehouse automation through its innovative software that leverages artificial intelligence to create dynamic and predictive logistics ecosystems. This advancement, championed by CEO Akash Gupta, aims to enhance efficiency and adaptability in supply chain operations. By integrating AI into warehousing processes, GreyOrange is addressing the growing demand for smarter logistics solutions, particularly in an era where rapid delivery and operational flexibility are paramount. The company's approach not only streamlines warehouse management but also positions it at the forefront of the evolving landscape of logistics technology. As businesses increasingly seek to optimize their operations, GreyOrange's vision for the future of warehousing highlights the critical role of AI in shaping more responsive and intelligent supply chains.

Artificial Intelligence Business Resources Logistics News Opinion Podcast
Insights behind Kinisi’s acquisition by Bear Robotics

Insights behind Kinisi’s acquisition by Bear Robotics

Brennand Pierce, the founder and CEO of Kinisi Robotics, recently shared insights into the company’s innovative approach to physical artificial intelligence following its acquisition by Bear Robotics. This strategic move aims to enhance Bear Robotics' capabilities in the rapidly evolving field of robotics, particularly in applications that require advanced physical interaction. The acquisition, which underscores the growing interest in AI-driven robotics, is expected to bolster Bear Robotics' position in the market. Pierce highlighted the synergies between the two companies, emphasizing how Kinisi's technology will complement Bear Robotics' existing products and services. The deal marks a significant step in the integration of physical AI into everyday robotic applications, paving the way for more sophisticated and efficient robotic solutions.

Artificial Intelligence Business Resources Controllers Humanoids News Opinion
Deep dive into ARM’s physical AI and robotics strategies with Drew Henry

Deep dive into ARM’s physical AI and robotics strategies with Drew Henry

Drew Henry, a representative from ARM, recently shared insights into the evolving landscape of physical AI, robotics, and autonomous systems, emphasizing their development to meet real-world challenges. In a detailed discussion, Henry outlined ARM's strategic approach to integrating advanced technologies in these fields, highlighting the necessity for systems that can operate effectively within the constraints of everyday environments. This conversation comes at a time when the demand for intelligent automation solutions is rapidly increasing, driven by the need for efficiency and innovation across various industries. The dialogue took place in a recent interview featured on The Robot Report, showcasing ARM's commitment to pioneering advancements in robotics and AI.

Artificial Intelligence Business Resources Controllers Development Tools / SDKs / Libraries Logistics Materials
Why deterministic real-time systems are more critical than ever in robotics

Why deterministic real-time systems are more critical than ever in robotics

Winston Leung recently highlighted the significance of QNX in the fields of robotics and artificial intelligence during a discussion centered on safety, innovation, and emerging industry trends. His insights underscore the increasing importance of deterministic real-time systems in robotics, particularly as the demand for reliable and efficient technology continues to grow. This conversation, featured in a post on The Robot Report, reflects the evolving landscape of robotics and the critical role that advanced operating systems play in ensuring both safety and performance in automated systems. As industries increasingly adopt AI-driven solutions, the need for robust and responsive systems like QNX becomes paramount to meet the challenges of modern robotics.

Artificial Intelligence Business Resources News Opinion Podcast Robots / Platforms
RobotToday Initiative

Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.