Výzkumné Papers
Srozumitelná shrnutí nejnovějšího výzkumu robotiky — humanoidní roboti, čtyřnozí roboti, průmyslová automatizace a umělá inteligence.
Robotics8. 6.
Quadruped Robots That Push and Pull Objects With Their Feet: A Smarter Training Approach

Robotics7. 6.
Flow-Based Policy Adjustment That Works Without Retraining the Robot

AI7. 6.
Speed-Controllable Robot Policies: TempoVLA Lets You Dial Up or Down Execution Speed

Humanoid7. 6.
HANDOFF Lets Humanoid Robots Use One Controller for Walking, Manipulating, and Recovery

Robotics6. 6.
D³-MoE: Style-Controllable Autonomous Driving That Lets You Choose Aggressive or Cautious

Robotics6. 6.
WAM-Nav: Unified Visual Navigation With Asymmetric World-Action Modeling

Robotics6. 6.
Self-Guided Flow Policy Boosts Robot Task Success Without Separate Critics

Robotics5. 6.
What Cyclist Eye Gaze Reveals About Safer Road Infrastructure

Robotics5. 6.
CIPER Unifies Cross-View Retrieval and Pose Estimation for Robots

Robotics5. 6.
World Models That Generalize Across Environments for Quadrotor Navigation

Robotics4. 6.
HORIZON: A Recoverability-Driven Curriculum for Scaling Physical Domains in Robot Locomotion

Robotics4. 6.
X4Val Uses Neural Surrogates to Slash Robot Validation Costs

Humanoid4. 6.
GRAIL Generates Humanoid Loco-Manipulation from 3D Assets and Video Priors

Robotics3. 6.
Latent-Space Predictive World Model for Dynamic VLA Manipulation

Robotics3. 6.
Uncertainty-Aware 4D LiDAR Scene Synthesis for Smarter Autonomous Driving

Robotics3. 6.
New Agricultural Robot Navigation System Detects and Corrects Instruction Mistakes

Robotics2. 6.
A Foundation Model for Understanding Object Affordances from Visual Data

AI2. 6.
New Safety Filter for Interactive Robots Uses Trusted Inference to Avoid Overly Cautious Behavior

Robotics2. 6.
