Latest Research in Robotics
689 research papers · 2026 median publication year
Top Research Topics in Robotics
- Robotics — 487 papers
- Computer Vision and Pattern Recognition — 91 papers
- Artificial Intelligence — 34 papers
- Machine Learning — 21 papers
- Robot Manipulation and Learning — 15 papers
- Multimodal Machine Learning Applications — 9 papers
- Reinforcement Learning in Robotics — 7 papers
- Systems and Control — 3 papers
- Human Pose and Action Recognition — 3 papers
- Computation and Language — 3 papers
Highest-Cited Papers
- Civil: causal and intuitive visual imitation learning
- Explicit Language Memory for Long-Horizon Planning in Vision-Language-Action Models
- Teach and Grow: An Agent-Centered Architecture for General Robot Learning
- PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control
- M2Tok: Multi-head Multi-codebook Discrete Action Tokenization for Vision-Language-Action Models
- MAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution
- Runtime Safety Filtering for Two-Terminal Hazards in Robotic Battery Recycling
- TraceFlow: Guiding Frozen Flow-Matching Robot Policies with Success and Failure Traces
- Robotic Video World Models: A Survey of Applications, Research Challenges, Future Directions
- CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding
- Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation
- HEROIC: Heterogeneous Evidential Reasoning for Open-Vocabulary Identification and Cross-Robot Collaboration
- Recovering Aggressively Pruned Vision-Language-Action Models with Offline Hidden-State Distillation
- SceneTeract: Probing and Improving Agent-Aware Activity Reasoning in 3D Indoor Scenes
- HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface
- Imagine-TAMP: Imagination-Guided Task and Motion Planning in Partial Observability
- Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control
- ANCHOR: A Physically Grounded Closed-Loop Framework for Robust Home-Service Mobile Manipulation
- Hybrid Residual Reinforcement Learning for Contact-Rich Robotic Book Insertion
- VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control