{"list":"other","total":52,"rows":[{"id":"2210.03629","title":"ReAct: Synergizing Reasoning and Acting in Language Models","created":"2022-10-06","cited_by_count":8695},{"id":"2303.11366","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","created":"2023-03-20","cited_by_count":4276},{"id":"2305.16291","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","created":"2023-05-25","cited_by_count":2191},{"id":"2504.16054","title":"$\\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization","created":"2025-04-22","cited_by_count":1761},{"id":"2211.17192","title":"Fast Inference from Transformers via Speculative Decoding","created":"2022-11-30","cited_by_count":1653},{"id":"2503.14734","title":"GR00T N1: An Open Foundation Model for Generalist Humanoid Robots","created":"2025-03-18","cited_by_count":1225},{"id":"2209.07753","title":"Code as Policies: Language Model Programs for Embodied Control","created":"2022-09-16","cited_by_count":1210},{"id":"2307.05973","title":"VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models","created":"2023-07-12","cited_by_count":750},{"id":"2303.08128","title":"ViperGPT: Visual Inference via Python Execution for Reasoning","created":"2023-03-14","cited_by_count":603},{"id":"2409.01652","title":"ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation","created":"2024-09-03","cited_by_count":315},{"id":"2506.07339","title":"Real-Time Execution of Action Chunking Flow Policies","created":"2025-06-09","cited_by_count":216},{"id":"2403.03949","title":"Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation","created":"2024-03-06","cited_by_count":144},{"id":"1812.05506","title":"A predictive safety filter for learning-based control of constrained nonlinear dynamical systems","created":"2018-12-13","cited_by_count":118},{"id":"2402.12275","title":"WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment","created":"2024-02-19","cited_by_count":107},{"id":"2603.22435","title":"CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation","created":"2026-03-23","cited_by_count":88},{"id":"2412.04455","title":"Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection","created":"2024-12-05","cited_by_count":63},{"id":"2405.15383","title":"Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search","created":"2024-05-24","cited_by_count":40},{"id":"2607.04434","title":"RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies","created":"2026-07-05","cited_by_count":40},{"id":"2607.07663","title":"Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops","created":"2026-07-08","cited_by_count":35},{"id":"2607.15524","title":"Recursive Harness Self-Improvement","created":"2026-07-17","cited_by_count":32},{"id":"2411.08027","title":"LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines","created":"2024-11-12","cited_by_count":30},{"id":"2404.12308","title":"ASID: Active Exploration for System Identification in Robotic Manipulation","created":"2024-04-18","cited_by_count":28},{"id":"2302.00171","title":"Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach","created":"2023-02-01","cited_by_count":15},{"id":"2608.25927","title":"Code World Model: Coding Agent as World Brain","created":"2026-08-26","cited_by_count":14},{"id":"2608.27549","title":"Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning","created":"2026-08-27","cited_by_count":14},{"id":"2606.30639","title":"Self-Evolving World Models for LLM Agent Planning","created":"2026-06-29","cited_by_count":13},{"id":"2609.24972","title":"RRSI: Regularized Recursive Self-Improvement of Agent Harnesses","created":"2026-09-21","cited_by_count":13},{"id":"2504.03597","title":"Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin","created":"2025-04-04","cited_by_count":12},{"id":"2609.24170","title":"An Unexpected Robot Policy: Early Evaluations of GPT-6 Astra on RoboDojo and Beyond","created":"2026-09-21","cited_by_count":11},{"id":"2512.05955","title":"SIMPACT: Simulation-Enabled Action Planning using Vision-Language Models","created":"2025-12-05","cited_by_count":8},{"id":"2601.20334","title":"Demonstration-Free Robotic Control via LLM Agents","created":"2026-01-28","cited_by_count":8},{"id":"2609.15478","title":"BVB: Benchmarking Agentic Video Understanding via Programmatic Reconstruction in Blender","created":"2026-09-14","cited_by_count":6},{"id":"2510.11689","title":"Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation","created":"2025-10-13","cited_by_count":5},{"id":"2610.01939","title":"Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens","created":"2026-10-01","cited_by_count":4},{"id":"2609.11499","title":"Recursive Code World Models: Building Complex Worlds through Recursive Scene Programs","created":"2026-09-10","cited_by_count":3},{"id":"2609.20822","title":"Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation","created":"2026-09-17","cited_by_count":3},{"id":"2609.27612","title":"RegenHarness: A Robot Agent Harness with Evidence-Gated Recursive Self-Improvement","created":"2026-09-23","cited_by_count":3},{"id":"2609.31760","title":"What Stops Recursive Self-Improvement in Robotics? Lessons from 123 Rounds of Agentic Skill Discovery","created":"2026-09-23","cited_by_count":3},{"id":"2609.38537","title":"Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies","created":"2026-09-29","cited_by_count":3},{"id":"2607.25236","title":"VisualPatchWorld: Code World Models as Latent Structured Representations for Planning","created":"2026-07-28","cited_by_count":2},{"id":"2609.38905","title":"EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation","created":"2026-09-30","cited_by_count":2},{"id":"2609.38982","title":"SimEX: Simulation-Integrated Robotics AutoResearch","created":"2026-09-30","cited_by_count":2},{"id":"2609.39304","title":"Scale and Selection: What Makes Automatic Harness Evolution Work for Visual-Interface Robot Agents","created":"2026-09-30","cited_by_count":2},{"id":"2610.10498","title":"EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution","created":"2026-10-07","cited_by_count":2},{"id":"2603.19418","title":"Speculative Policy Orchestration: A Latency-Resilient Framework for Cloud-Robotic Manipulation","created":"2026-03-19","cited_by_count":1},{"id":"2608.29379","title":"Bridging Semantics and Physics with Constrained LLMs for Safe and Trustworthy Robotic Manipulation","created":"2026-08-29","cited_by_count":1},{"id":"2609.26499","title":"Generalizing Manipulation Skills with a Local Coding Agent","created":"2026-09-22","cited_by_count":1},{"id":"2609.35047","title":"EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning","created":"2026-09-28","cited_by_count":1},{"id":"2610.02200","title":"VISTA: A Visual Harness for Reasoning in an Interactive World","created":"2026-10-01","cited_by_count":1},{"id":"2610.02459","title":"OpenRUA: Robot-Use Agents Are Zero-Shot Visuomotor Policies","created":"2026-10-01","cited_by_count":1},{"id":"2610.04432","title":"Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos","created":"2026-10-03","cited_by_count":1},{"id":"2610.10479","title":"Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot Policies","created":"2026-10-07","cited_by_count":1}],"next_cursor":null}