Humanoid robots are moving from concept to workplace trials, and the upcoming RoboBusiness 2025 conference brings key industry figures to reflect on real-world progress. Leaders from NVIDIA, GXO Logistics, and Agility Robotics will participate in a keynote panel to share lessons from early deployments and weigh the technology’s prospects for wider adoption. The event’s renewed attention to humanoids spotlights both technical successes and persistent challenges, helping attendees grasp where this rapidly developing field stands today. While many industries anticipate increased robotics integration, few forums have brought together such direct experience with products like Agility’s Digit, currently undergoing pilot programs at logistics firms GXO and Spanx.
Recent coverage of humanoid robotics frequently discussed market hype, venture funding, and laboratory demonstrations. Unlike previous years, the 2025 conference focuses on application-driven insights from companies deploying robots in operational settings. The inclusion of dedicated tracks for ‘Humanoids’ and ‘Physical AI’ reflects a shift from speculative projections to evaluation of tangible outcomes. Increased collaboration between robotics developers and end-users, demonstrated by GXO and Spanx’s ongoing pilot tests with Digit, reveals how industry expectations are evolving and becoming more grounded in real-world feedback.
What Insights Will Industry Experts Share?
Participants in the panel include Jim Fan, NVIDIA’s Director of AI, whose experience explores foundation models and reinforcement learning, and Katlyn Lewicke, overseeing global automation strategy at GXO Logistics. Melonee Wise, Chief Product Officer at Agility Robotics, joins the discussion with a focus on lessons from the Digit humanoid’s deployment. Panelists are expected to discuss both technical achievements and areas needing refinement as robotics see expanded use in logistics and warehousing. Wise emphasized,
“Deploying Digit with GXO and Spanx allows us to observe how humanoid robots function in complex, real-world environments.”
How Are Companies Addressing Challenges?
Facing the realities of automation, companies are adjusting strategies as implementation uncovers unforeseen difficulties. Integration of robots like Digit into existing workflows brings up issues around adaptability, maintenance, and workforce coordination. Speakers will likely highlight approaches to overcome such obstacles, emphasizing continuous improvement as field trials uncover new learning opportunities. Lewicke remarked,
“We are examining not just the capabilities of humanoid robots, but their suitability within human-centric processes.”
What Can Attendees Expect from RoboBusiness 2025?
Beyond panel discussions, RoboBusiness 2025 promises engagement with over 100 exhibitors, a range of networking events, and sessions across six conference tracks, including new ones for humanoid robots and physical AI. Developers and users can compare notes on both barriers and successful strategies, supported by a diverse speaker roster. Co-location with DeviceTalks West offers added value for those interested in medical and healthcare technology applications. Registration is now open for professionals seeking to explore firsthand accounts of automation on the ground.
Deploying humanoid robots for commercial purposes requires overcoming technical, operational, and organizational hurdles. As key industry representatives candidly review their ongoing pilot programs, participants at RoboBusiness 2025 can assess the genuine readiness of platforms such as Digit for scale. With logistics serving as an early testbed, companies involved continue to refine both software and protocols to integrate robotics more smoothly into daily tasks. Audiences will benefit from insights grounded in operational data instead of promotional narratives, offering a clearer understanding of the factors influencing adoption speed and long-term prospects. Staying informed about such trials can help decision-makers anticipate what support, training, or reconfiguration may be needed to make humanoid robots work alongside human teams effectively.
