{"podcast":{"title":"DROIDS Newsletter","slug":"droids-newsletter-7723621","podcast_index_feed_id":7723621,"rss_url":"https://api.riverside.fm/hosting/aB5yL0Gt.rss","website_url":"https://droids.substack.com/podcast","image_url":"https://hosting-media.riverside.com/media/podcasts/86e48318-dde5-47ed-a946-a305cf5e9bed/logos/75a3be4c-4707-43f5-b341-417b7d5ff4d2.png","author":"Diana Wolf Torres","episode_count":55,"summary":"Daily robotic news.","last_synced_at":"2026-06-06T22:21:03.566989+00:00","page_url":"https://stenobird.com/podcast/droids-newsletter-7723621"},"episode":{"title":"DROIDS Daily- Robotic News. May 15, 2026","slug":"droids-daily-robotic-news-may-15-2026","published_at":"2026-05-15T20:44:48+00:00","page_url":"https://stenobird.com/podcast/droids-newsletter-7723621/droids-daily-robotic-news-may-15-2026","show_page_url":"https://stenobird.com/podcast/droids-newsletter-7723621","url":"https://api.riverside.com/hosting-analytics/media/fe294cb8d419a76d2f76817124f03747d640ecc4cd3f906a6e635305e71fa0b7/eyJlcGlzb2RlSWQiOiI1NDY4MmQxMy1kYzM5LTRmMWMtOGQ4NC1hZGMxNmYzNDljY2IiLCJwb2RjYXN0SWQiOiI4NmU0ODMxOC1kZGU1LTQ3ZWQtYTk0Ni1hMzA1Y2Y1ZTliZWQiLCJhY2NvdW50SWQiOiI2NjU2NjE2NjM4Mzg4ZjQwYThlMTMwYmUiLCJwYXRoIjoibWVkaWEvY2xpcHMvNmEwNzg1YzEzZjA4NTAwZDViOTBkYTFkL2RpYW5hLXdvbGYtdG9ycmVzcy1zdHVkaW8tY29tcG9zZXItMjAyNi01LTE1X18yMi00NC00OS5tcDMifQ==.mp3","audio_url":"https://api.riverside.com/hosting-analytics/media/fe294cb8d419a76d2f76817124f03747d640ecc4cd3f906a6e635305e71fa0b7/eyJlcGlzb2RlSWQiOiI1NDY4MmQxMy1kYzM5LTRmMWMtOGQ4NC1hZGMxNmYzNDljY2IiLCJwb2RjYXN0SWQiOiI4NmU0ODMxOC1kZGU1LTQ3ZWQtYTk0Ni1hMzA1Y2Y1ZTliZWQiLCJhY2NvdW50SWQiOiI2NjU2NjE2NjM4Mzg4ZjQwYThlMTMwYmUiLCJwYXRoIjoibWVkaWEvY2xpcHMvNmEwNzg1YzEzZjA4NTAwZDViOTBkYTFkL2RpYW5hLXdvbGYtdG9ycmVzcy1zdHVkaW8tY29tcG9zZXItMjAyNi01LTE1X18yMi00NC00OS5tcDMifQ==.mp3","summary":"Lunar rover planner: JAXA’s new hierarchical reinforcement learning system autonomously plans multi-sol traverses, optimizing for terrain, slip, and thermal risk while cutting human replanning time by over 60% in field trials. Anti-jamming swarm control: Harvard researchers show that injecting tuned randomness into each robot’s motion policy prevents congestion-induced deadlocks, preserving throughput as swarm size grows in warehouse-like and other multi-robot environments. Agriculture to microrobots: A tomato-harvesting robot uses self-supervised, multimodal transformers to assess harvestability, while light-powered salt-grain microrobots integrate sensing, logic, memory, and actuation for untethered micro-scale tasks. #robotics #roboticnews #droidsnewsletter","meta_description":"Lunar rover planner: JAXA’s new hierarchical reinforcement learning system autonomously plans multi-sol traverses, optimizing for terrain, slip, and therm…","key_points":[],"chapters":[],"topics":[],"duration_seconds":182,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/droids-newsletter-7723621/episodes/droids-daily-robotic-news-may-15-2026/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/droids-newsletter-7723621/droids-daily-robotic-news-may-15-2026.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}