{ "schema_version": "paper_public_manifest_v1", "paper_id": "towards-agentic-robots_2026_10", "slug": "towards-agentic-robots", "title": "Robotics Agent Survey: Four Major Directions in One Article", "authors": [], "source": { "arxiv_id": "2610.20442", "pdf_url": "https://arxiv.org/pdf/2610.20442", "project_url": "", "github_url": "", "huggingface_url": "", "original_source": "https://arxiv.org/pdf/2610.20442" }, "site": { "post_url": "/posts/towards-agentic-robots", "canonical_url": "https://haiguangboy.com/posts/towards-agentic-robots", "cover_image": "https://static.haiguangboy.com/papers/towards-agentic-robots/cover.webp" }, "taxonomy": { "domain": "embodied_ai", "track": "world_model", "tasks": [ "embodied_ai", "world_model", "vla", "action_generation", "robotics", "state_prediction", "Embodied Intelligence", "Robotics", "agent", "World Models" ], "related_topics": [ { "paper_id": "learning_a_thousand_tasks_in_a_day_2026_08", "title": "1000 Tasks in 1 Day, Thanks to Inductive Bias", "url": "https://haiguangboy.com/posts/mt3-thousand-tasks", "relation": "same_track", "summary": "Repair methods should correspond to failure sources validates failure attribution: retrieval 22.3%, pose estimation 23.9%, segmentation 19.5%, grasped object 20.2%", "strength": "strong" }, { "paper_id": "gemini_robotics_2_safety_2026_07", "title": "Gemini_Robotics_2_Safety", "url": "https://haiguangboy.com/posts/gemini_robotics_2_safety", "relation": "same_track", "summary": "Agentic does not automatically mean a higher level of autonomy validates the positioning of ASIMOV-Agentic: it only tests high-level semantic orchestration and explicitly does not test functional safety architecture", "strength": "strong" }, { "paper_id": "google_blog_gemini_robotics_er_2_20260730_2026_07", "title": "Introducing Gemini Robotics ER 2", "url": "https://haiguangboy.com/posts/google_blog_gemini_robotics_er_2_20260730", "relation": "same_track", "summary": "Agentic does not automatically mean a higher level of autonomy validates the architectural statement: the VLA model and navigation API are jointly declared as tools of the agent", "strength": "strong" }, { "paper_id": "pave_predictive_alignment_and_value_guided_evolution_for_world_action_policies_2026_09", "title": "PAVE: Failure Data Can Also Feed the Policy", "url": "https://haiguangboy.com/posts/pave_predictive_alignment_and_value_guided_evolution_for_world_action_policies", "relation": "same_track", "summary": "PAVE: Failure Data Can Also Feed the Policy", "strength": "strong" }, { "paper_id": "pointworld_scaling_3d_world_models_for_in_the_wild_robotic_manipulation_2026_08", "title": "PointWorld: Point Flows Unify State and Action", "url": "https://haiguangboy.com/posts/pointworld_scaling_3d_world_models_for_in_the_wild_robotic_manipulation", "relation": "same_track", "summary": "PointWorld: Point Flows Unify State and Action", "strength": "strong" }, { "paper_id": "rl_100_performant_robotic_manipulation_with_real_world_reinforcement_learning_2026_08", "title": "RL Should Not Learn from Scratch; It Should Do Post-Training", "url": "https://haiguangboy.com/posts/rl-100", "relation": "same_track", "summary": "Skill evolution includes promotion, validation, and deprecation mechanisms validates that in the offline stage, an approximate model Q-function is used as a gate, and the behavior policy is advanced only when the prediction is indeed improved; otherwise, that update is rejected", "strength": "strong" } ] }, "analyst_take": { "type": "author_opinion", "text": "💡 Connecting hot topics is more valuable than chasing papers in isolation\nChunkTrust focuses on when to reacquire feedback; RoboHarn-Evo focuses on how to verify results and revise experience. Put back on this map, we can see that they are respectively filling in the links of execution scheduling and experience reuse.\n\nFor engineers, the benefit of this article is: first locate which layer the bottleneck belongs to, then find methods along the corresponding direction; when evaluating combined solutions, compare success rate, time, computation, and retry budget together." }, "ruling": { "importance_score": 3.0, "one_sentence": "Robotics Agent Survey: Four Major Directions in One Article" }, "asset_base_url": "https://static.haiguangboy.com/papers/towards-agentic-robots", "assets": [ { "type": "cover_image", "object_key": "papers/towards-agentic-robots/cover.webp", "url": "https://static.haiguangboy.com/papers/towards-agentic-robots/cover.webp", "content_type": "image/webp", "upload_status": "pending", "role": "post_cover" }, { "type": "pdf_screenshot", "object_key": "papers/towards-agentic-robots/page_01.webp", "url": "https://static.haiguangboy.com/papers/towards-agentic-robots/page_01.webp", "content_type": "image/webp", "upload_status": "pending", "role": "paper_first_page" }, { "type": "pdf_screenshot", "object_key": "papers/towards-agentic-robots/key_figure.webp", "url": "https://static.haiguangboy.com/papers/towards-agentic-robots/key_figure.webp", "content_type": "image/webp", "upload_status": "pending", "role": "method_figure" }, { "type": "public_manifest", "object_key": "papers/towards-agentic-robots/public_manifest.json", "url": "https://static.haiguangboy.com/papers/towards-agentic-robots/public_manifest.json", "content_type": "application/json; charset=utf-8", "upload_status": "pending", "role": "public_manifest" }, { "type": "public_brief", "object_key": "papers/towards-agentic-robots/public_brief.md", "url": "https://static.haiguangboy.com/papers/towards-agentic-robots/public_brief.md", "content_type": "text/markdown; charset=utf-8", "upload_status": "pending", "role": "public_brief" } ], "published_at": "2026-10-16T06:47:11+08:00", "created_at": "2026-10-16T06:47:11+08:00", "updated_at": "2026-10-16T06:47:11+08:00" }