![]() The practical guide - illustrated with inspiring real cases (BTS, mCaffeine, Kärcher, De L'Europe, Noodelist, Clorox, MAIF, Xiaomi, Futurium, The Body Shop), frameworks, and takeaways - will benefit leaders in charge of new markets, product strategy and portfolio, product and client experience, innovation roadmap and management, digital transformation, and R&D, as well as professionals eager to stay up-to-date. Defining Sustainable Growth StrategiesĬhap 6. Delivering People and Planet-friendly InnovationsĬhap 4. Shares real strategy business cases from various industries and geographical marketsĪnd is articulated into 6 chapters (also available separately):Ĭhap 1. Articulates a new way to develop innovation growth strategies rooted in advances in management and behavioral science Invites leaders to rethink their approach to product strategy and deliver people and planet-friendly innovations ![]() Predicting market outcomes and creating winning products for people and planet-friendly futuresĪvailable in the "Business Guides on the Go" collection by Springer, the compact strategy book (or ebook) of 118 pages + a 35mn online course: Very excited to introduce the new book + courseįrontiers in Product Innovation Strategy: PS: text written without GenAI hallucinations□ĭervalResearch | Certified B Corp Cheung Kong Graduate School of Business Geek+ Xiaomi Technology Apple #insights #robots #sensors #autonomous It is not uncommon to find a LiDAR sensor in smartphones□ like Xiaomi and Apple or vacuum cleaning robots like Mijia by Xiaomi, so there might be interesting new entrants in the field. As a reminder, fatal autonomous car accidents □ involving pedestrians typically happened on vehicles just equipped with cameras. ![]() This is especially true for tasks like forklifting. LiDAR is more expensive but critical for safe navigation and obstacle detection, as the laser can work regardless of the lighting conditions. The RGBD camera allows for the capture of colors (Red □ Green □ Blue □) but also for depth sensing thanks to the light projection. The mobile robot can identify and put on a map □️ different landmarks that will help locate itself and accomplish the tasks. SLAM (Simultaneous Localization and Mapping) stands for navigation and v for visual, meaning the AMR is relying on a camera □ and light signal, rather than for instance on a laser signal (LiDAR). Robots like Geek+ have been using vSLAM to navigate. I had the chance to share some of our findings and insights with Mark Andrews for his latest article in CKGSB Knowledge Series For Autonomous Mobile Robots (AMRs) □ players, having affordable and accurate sensors is the sinews of war in the industry ![]()
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