Results for "relative position"

Estimating robot position within a map.

Encodes token position explicitly, often via sinusoids.

Encodes positional information via rotation in embedding space.

Injects sequence order into Transformers, since attention alone is permutation-invariant.

Accelerating safety relative to capabilities.

Computing end-effector position from joint angles.

Architecture based on self-attention and feedforward layers; foundation of modern LLMs and many multimodal models.

Computing collision-free trajectories.

Attention where queries/keys/values come from the same sequence, enabling token-to-token interactions.

Raw model outputs before converting to probabilities; manipulated during decoding and calibration.

Measures how one probability distribution diverges from another.

Minimum relative to nearby points.

Mathematical representation of friction forces.

Returns above benchmark.

Internal sensing of joint positions, velocities, and forces.

Study of motion without considering forces.

Computing joint angles for desired end-effector pose.

Space of all possible robot configurations.

Planning via artificial force fields.