As robotics shifts from task automation to intelligent autonomy, the real challenge isn’t just building robots that move, it’s designing systems that learn, adapt, and earn trust at scale. Kavitha Velusamy, senior vice president of software and AI at Brain Corp, will unpack what it takes to build and deploy robot fleets that combine reliability with intelligence.
Drawing from Brain Corp’s experience powering over 40,000 robots worldwide, Kavitha will explore how new approaches in perception, data integration, and continuous learning are redefining autonomy in real-world environments like retail, logistics, and public spaces. She’ll share how teams can bridge the gap between simulation and deployment, optimize for safety and privacy by design, and architect systems that evolve responsibly over time.
Attendees will gain a behind-the-scenes view of how to turn complex, dynamic environments into structured intelligence, and practical lessons on scaling robot software, managing edge-to-cloud data flows, and maintaining trust with users and regulators alike.
Most conversations about warehouse automation focus on the technology, but not enough attention is paid to what it takes to make automation actually work in real-world environments. That means dealing with unpredictable environments, legacy systems, and shifting human workflows.
In this session, Anthony Jules, CEO of Robust.AI, draws on decades of experience in robotics to explore what it really takes to bring automation into complex warehouse environments. He’ll share practical insights from the field on what makes or breaks successful implementations, ranging from design decisions that support collaborative robots to the organizational changes required for adoption. Additionally, Anthony will discuss the real barriers to automation, the importance of making systems intuitive, and how to think about automation not as a replacement, but as a partner for human workers.
Soft wearable robots are transforming how people move, work, and recover. This talk will explore the engineering innovations behind next-generation soft robots—from new functional apparel innovations and actuation strategies to intelligent control and human–machine co-adaptation—and how these advances have translated into real-world impact. Drawing on examples such as Verve Motion’s exosuits for industrial injury prevention, ReWalk’s ReStore for stroke rehabilitation, and Imago Rehab’s digital therapy platform, the talk will cover how academic research can move rapidly toward commercialization through user-centered design, clinical validation, and strategic partnerships. The talk will highlight both the engineering breakthroughs that enable these systems and their use cases spanning the factory floor, the clinic, and the home.
AI‑ and RL‑driven control has enabled increasingly capable autonomous robots, yet real‑world deployment remains limited by the persistent sim‑to‑real gap. While most mitigation efforts focus on improving simulation or high-level control, this talk presents maxon’s complementary hardware‑first strategy. By integrating specialized firmware features and applying maxon’s deep understanding of drive‑system dynamics, key actuation and sensing nonlinearities are removed at their source. This approach delivers more predictable, simulation‑aligned behavior. Case studies from robotics partners illustrate how this approach boosts robustness, accelerates deployment, and enhances performance in real‑world autonomous systems.