Voyager and Icarus Robotics partner to test free-flying robot on ISS

By
Editorial Team
-
0
78
reframe, rephrase and rewrite this in a better and different way, this is news so also keep the flow as a news format to be published on social media platforms, and give me relevant 6 AI-powered SEO Hashtags in a single line and KEEP #TheMainstream FRIST, the entire content should not be more than 400 words. if there is any name mentioned of any media group or news channel name then just replace it with a common noun, also maintain plagiarism. if there is any content or words said by someone in double inverted commas, like someone is saying something or a conversation in double inverted commas, let it remain as it is. mention all the numbers in figures and not in words. please write the entire content in plain and simple easy to read and understand English. do not miss out on any details mentioned in this content and do not add anything else in this apart from what is written in this content. make the headline of the article depending upon the actual context mentioned in the content and should be meaningful. but different than what is given to you. the headline/main title should be sentence case. Use simplified, impactful sentences; avoid complex structures. Ensure grammatical correctness and readability. the opening paragraph of the content must start differently from the headline, more sophisticated and subtle. give me one extra headline at the bottom of the content. dont highlight except headline lobal Capability Centers are entering one of the most consequential transitions in their 25‑year history. What began as a cost‑efficient service extension has evolved into a strategic engine for digital capability and innovation, driving GCC transformation strategy across global enterprises. A recent whitepaper by EY and AMCHAM titled ‘The Agentic AI-first Global Capability Center’, outlines a new phase of reinvention: the emergence of the Agentic AI–first GCC, where autonomous intelligence becomes the operating model’s execution layer rather than a tool retrofitted onto legacy processes. Why the transition is unavoidable Enterprise AI has moved firmly into production, with nearly half of large organizations already running mature AI use cases. As per the EY GCC Pulse Survey 2025, a task level analysis shows that 24% of enterprise tasks are fully automatable and another 42% can be significantly augmented, signaling a major enterprise automation shift and accelerating GenAI adoption across industries. Coupled with falling compute costs, rapidly advancing foundation models and increasing pressure for decision velocity, the rationale for AI first operating models is no longer experimental — it is becoming strategic. What makes an Agentic AI GCC different Agentic systems represent a new category of enterprise capabilities. These systems can perceive context, plan multi step actions, invoke tools and APIs, coordinate across platforms, and learn continuously from feedback loops — forming the backbone of autonomous workflow systems and autonomous decision-making systems. In practice, workflows no longer move through linear approvals. They operate as event‑driven environments where autonomous agents handle execution and escalate only the exceptions requiring human judgment. For GCCs, this shift moves teams away from repetitive execution toward oversight, intervention and strategic interpretation —fundamentally altering both the shape of work and the skills required. GCC as the enterprise intelligence center GCCs are structurally positioned to lead this shift. They bring together cross‑functional talent, enterprise‑wide data access, engineering scale, governance maturity, and the connective processes required for scaling enterprise‑wide autonomous AI systems. This combination makes the GCC a natural center of gravity for AI, reducing the fragmentation that arises when business units attempt to build capabilities independently. Industry momentum reinforces this: as per the EY GCC Pulse Survey 2025, 83% of GCCs are already engaging with GenAI adoption, and 58% are actively developing agentic capabilities. The economic case for an AI‑first architecture The rationale for this transition is grounded in structural value creation rather than incremental efficiency gains. Traditional levers such as Lean programs, ERP consolidation, and robotic automation have typically delivered only 5%–15% improvements, and many enterprises are now reaching the limits of these approaches. Agentic AI enables end‑to‑end enterprise AI orchestration, continuous optimization, and exception‑driven execution — unlocking productivity through Agentic AI systems. As workflows are redesigned around autonomous intelligence, GCCs evolve from delivery hubs into engines of enterprise‑wide value creation, anchoring next‑generation digital operating models. A blueprint for building the AI‑first GCC Sustained transformation requires aligned investment across four interdependent pillars that define a robust GCC transformation strategy: Agentic‑native talent and culture: Shifting human roles toward oversight, judgment and orchestration Agentic platforms and architecture: Hybrid stacks, API‑first platforms and modular design enabling interoperability Governance and accountability: Designing Responsible AI governance frameworks through an embedded AI governance framework with explainability and human‑in‑the‑loop controls Operating‑model redesign: Event‑driven orchestration replacing linear and approval‑based workflows These pillars reinforce one another; neglecting anyone constrains the potential of others. Accelerating the journey As organizations reimagine their GCC transformation strategy, many are looking for structured ways to align architecture, governance and talent while avoiding fragmented experimentation. Approaches that combine advisory insight with execution support, such as the EY Intelligent GCC solution suite powered by EY.AI, can help institutions design AI native centers, embed autonomous workflows and strengthen Responsible AI practices — enabling faster and more confident transitions without added complexity. Governance and workforce: The real differentiators Private space firms advance robotics with ISS mission partnership
Private space firms advance robotics with ISS mission partnership

In a move that highlights growing private-sector involvement in space, Voyager Technologies has secured a mission management contract with robotics startup Icarus Robotics to test a free-flying robotic system aboard the International Space Station (ISS).

The collaboration comes as NASA continues to encourage commercial participation in low Earth orbit ahead of the ISS’s planned retirement in 2030. Robotics is emerging as a critical technology for future commercial space stations and upcoming lunar missions.

Icarus Robotics’ system, named “Joyride,” is designed to move freely inside crewed space stations. The upcoming test will assess how effectively the robot can function in microgravity conditions.

The mission will also help collect valuable data needed to train AI models for operating robots in space environments.

Under the agreement, Voyager Technologies will prepare the robot for flight, obtain necessary safety approvals, manage launch arrangements, and oversee operations once the system reaches the ISS.

“In order to create robust embodied AI systems, the first step is to get your hardware into the actual environment. Space has the highest barrier to entry of any domain, no simulator can substitute for being there,” Jamie Palmer, co-founder and chief technology officer of Icarus Robotics, said.

Robots deployed in space could play multiple roles, including inspecting and repairing satellites, supporting routine maintenance and logistics on space stations, and eventually managing infrastructure such as data centers in orbit.

Also read: Viksit Workforce for a Viksit Bharat

Do Follow: The Mainstream LinkedIn | The Mainstream Facebook | The Mainstream Youtube | The Mainstream Twitter

About us:

The Mainstream is a premier platform delivering the latest updates and informed perspectives across the technology business and cyber landscape. Built on research-driven, thought leadership and original intellectual property, The Mainstream also curates summits & conferences that convene decision makers to explore how technology reshapes industries and leadership. With a growing presence in India and globally across the Middle East, Africa, ASEAN, the USA, the UK and Australia, The Mainstream carries a vision to bring the latest happenings and insights to 8.2 billion people and to place technology at the centre of conversation for leaders navigating the future.