The world is built within environments – both built and biotic. Continuously and increasingly in excess of their limits, these environments are enmeshed with changes wrought on them and changes they wreak in turn. And they are not only environments of disequilibrium and disrepair, they are also spaces of species inequalities and biomimetic dispossessions. A bee is a great model for a drone, and a drone can be a perfect replacement for the functions of a bee, so that society does not collapse when the bees proverbially disappear. But is a bee´s existence reducible only to its utility for society, and is a replacement of utilities the only relationship robots can have with living species? In the downward spiral spelled out by climate degradation, hardware robotics are poised to provide a range of fundamentally necessary solutions which can help mitigate the runaway dangers of increasingly uninhabitable environments for human and non-human species alike. How can robots help herald and enact a sustainable urban infrastructures? How can cyber-physical systems be designed, deployed, and coordinated with the demands of humans, non-human species, and the built and biotic environments alike? What kind of socio- environmental change can we enact through robots? Green Like a Robot is our initiative dedicated to a change in relations – between humans, non-humans, and near-humans crowded in ever-shrinking habitats, and exploring the obligations and opportunities arising out such a change.

The world is built on bodies – by bodies and for bodies and through bodily labor. Bodies are our most fundamental infrastructure for action. From a robotics perspective, humans are the highest and most sophisticated form of embodied robot there is: soft, agile, dexterous, self-repairing, autonomous, and with advanced energy sustaining systems. We have always been cyborgs, and yet contemporary popular and pundit discourse increasingly pitches humans versus machines, and humans versus humanoids. These are easy categories and comfortable dichotomies that we seek to collectively break and remake. After all, the cyborg has always been a figure of resistance. Today, advancing technologies allow us to reconfigure bodily experiences towards a radical horizon of embodied existence. Cyborg Ever After is our initiative in which we confront the limitations of embodiment as an experience, as a set of representations of being human, and as a political framework for both organic and inorganic agents. We rework and re-tool this.

Automation Readiness Lab: Work With a Robot

Most organizations know that automation, AI, and robotics will reshape how work gets done. The challenge is no longer deciding whether these technologies matter—it’s figuring out how to implement them in ways that create real business value.
However, too often, automation initiatives are designed from the top down. New technologies are introduced, consultants develop plans, and employees are expected to adapt. The result is predictable, and costly: resistance, low adoption, missed productivity gains, and investments that fail to deliver their promised return, in addition to loss of client satisfaction.
The Automation Readiness Lab takes a different approach.
Instead of starting with technology, we start with the people doing the work and making the decision, from top to bottom.
Through a structured, bottom-up process, frontline employees, operational teams, and subject matter experts work alongside leadership to identify where automation, AI, and robotics can capture hidden and novel advantages across the value chain.
The program helps organizations:
• Identify high-impact automation and AI opportunities
• Surface ideas directly from employees who understand the realities of the work
• Build workforce buy-in and reduce resistance to change
• Identify reskilling and upskilling opportunities
• Develop business cases with clear ROI potential
• Build leadership alignment and stakeholder support for execution
The outcome is more than a technology roadmap.
Organizations receive a practical transformation strategy with prioritized initiatives, success metrics, implementation timelines, workforce implications, and executive recommendations for scaling automation successfully.
The result is a workforce that participates in transformation rather than resisting it—and an automation strategy grounded in operational reality rather than assumptions.

Coming in 2027.