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Pivot-location uncertainty in a rotational clearance bound describes how an error in the point about which a rigid rotation is modeled changes predicted occupied-point motion. A radius measured about one pivot is not automatically valid about another. The underlying planning problem must include both translation and orientation of the robot’s actual geometry.^[ref]

Let $Q$ be a fixed rotation matrix, $\hat{c}$ the modeled pivot, and $c=\hat{c}+e$ the actual pivot. First suppose the initial physical point $p$ is known exactly and both descriptions use the same rotation $Q$. The modeled and actual endpoints areso their difference is exactlyThis vanishes for zero rotation even if the pivot location is uncertain. Treating pivot error as an arbitrary full translation at every angle can therefore be unnecessarily conservative.

For a rotation through principal angle $0\le \theta \le \pi$ about a known axis direction, the component of $e$ along that direction is unchanged by $Q$. Its perpendicular component giveswhen $\Vert e\Vert \le {ϵ}_c$. The chord-length factor is the same geometry used in the angular clearance bound for a rotating body. For a $30^{\circ }$ rotation and ${ϵ}_c=2\mathrm{mm}$, the maximum endpoint error from pivot location alone is about $1.035\mathrm{mm}$. An equally large pivot offset parallel to the axis produces no endpoint change in this model.

If the initial point also has error $p-\hat{p}=\delta p$ with $\Vert \delta p\Vert \le {ϵ}_p$, thenFor the difference of displacement vectors, rather than final positions, the shape term is $(Q-I)\delta p$, giving the different bound $2({ϵ}_p+{ϵ}_c)\sin (\theta /2)$. The requested geometric quantity determines which allowance applies.

A complementary radius argument bounds total actual motion. If modeled points satisfy $\Vert \hat{p}-\hat{c}\Vert \le \hat{R}$, then $\Vert p-c\Vert \le \hat{R}+{ϵ}_p+{ϵ}_c$, and total point displacement is at most $2(\hat{R}+{ϵ}_p+{ϵ}_c)\sin (\theta /2)$. This is the enclosure approach in uncertainty in a rigid-body bounding radius; it need not equal an endpoint-error calculation against a nominal path.

Correlations can reduce the bound. If the same coordinate-frame translation shifts both the modeled point and pivot, relative geometry may be unchanged; treating those two descriptions as independent physical errors loses that cancellation. Conversely, rotation-axis direction uncertainty in clearance bounds changes $Q$ itself and is not covered by the fixed-$Q$ pivot formula.

A proposed rotary-stage check observes several rigid fiducials, estimates the pivot and axis in one coordinate frame, and compares independent endpoint measurements at several angles with the predicted chord scaling. Include attached tools and measurement uncertainty. When the robot moves against an uncertain obstacle, combine this occupied-point model with a separately justified distance-query enclosure; a correct pivot bound does not establish the obstacle model’s accuracy.

Rotation-axis direction uncertainty in clearance bounds accounts for a robot rotating about a direction different from the modeled direction. Even an exactly located pivot does not determine the final occupied geometry if its axis direction is uncertain. Rotation acts through a rotation matrix; Rodrigues rotation formula computes that matrix from a unit axis and rotation angle.^[ref]

Assume the pivot $c$ and principal rotation angle $0\le \theta \le \pi$ are known and shared by both models. Let the unit axes be $u,\hat{u}$, separated by $\alpha$, and suppose every occupied point obeys $\Vert p-c\Vert \le R$. The endpoint discrepancy isIt measures error against a nominal endpoint, not total motion from the initial position.

One exact operator norm calculation uses the unit quaternions $(\cos (\theta /2),u\sin (\theta /2))$ and its modeled counterpart. Their scalar product isThe relative rotation has half-angle cosine $|d|$. A rotation through angle $\beta$ moves a perpendicular unit vector by $2\sin (\beta /2)$, givingConsequently, if the direction error is at most ${\alpha }_{\max }\le \pi$,The cap $2R$ follows because both endpoints lie on the same radius-$R$ sphere. The bound vanishes at zero rotation and, for small axis error, scales approximately as $2R\sin (\theta /2){\alpha }_{\max }$. Opposite oriented axes represent the same rotation at $\theta =\pi$; the conservative inequality need not capture that special cancellation.

For an original rotary-tool example, $R=0.50\mathrm{m}$, $\theta =90^{\circ }$ and ${\alpha }_{\max }=1^{\circ }$ give an endpoint-error allowance of $0.01234\mathrm{m}$, about $12.34\mathrm{mm}$. A direction tolerance that looks small numerically can consume a substantial clearance margin at a long tool tip.

A combined pivot and axis uncertainty in rotational clearance must add or jointly bound pivot-location error, angle error and direction error without double-counting a shared coordinate-frame error. The fixed-axis formula in pivot-location uncertainty in a rotational clearance bound addresses a different contribution. For a proposed test, observe multiple rigid fiducials over several angles, fit pivot and direction, and validate independent endpoint measurements against the claimed enclosure. Geometric robot motion planning needs the resulting occupied-body bound along the path, rather than only at its final orientation.^[ref]

Uncertainty in a rigid-body bounding radius concerns whether the radius used in a motion bound actually encloses the robot about its declared pivot. A nominal mesh radius can miss manufacturing tolerances, an attached tool or an uncertain reference-point location. The bounding radius for rigid-body clearance must bound the relevant actual occupied geometry, not only a convenient displayed shape.

Let modeled body $\hat{B}$ and modeled pivot $\hat{c}$ satisfy $\Vert \hat{p}-\hat{c}\Vert \le \hat{R}$ for every $\hat{p}\in \hat{B}$. Suppose every point $p$ of the actual body lies within ${ϵ}_B$ of some modeled point, and the actual pivot obeys $\Vert c-\hat{c}\Vert \le {ϵ}_c$. The triangle inequality givesThus a certified radius isThe one-sided geometric coverage assumption is sufficient; it does not require every modeled point to lie close to actual material. A conservative overfilled model is allowed.

For an original example, take $\hat{R}=0.500\mathrm{m}$, shape coverage error ${ϵ}_B=3\mathrm{mm}$ and pivot-location error ${ϵ}_c=2\mathrm{mm}$. Then $R_{\mathrm{cert}}=0.505\mathrm{m}$. A ten-degree rotation about the actual fixed pivot moves any actual point by at mostUsing the nominal radius gives only $87.16\mathrm{mm}$, missing about $0.872\mathrm{mm}$ of possible motion. The angular clearance bound for a rotating body translates that displacement allowance into a clearance bound. Geometry and rotation must be considered together in the continuous-path planning model.^[ref]

Pivot-location uncertainty in a rotational clearance bound is distinct from an uncertain body translation. If the chosen reference point also moves, its translation contributes separately to the occupied-point motion. A speed certificate becomes $v_{\max }+R_{\mathrm{cert}}{\omega }_{\max }$ when the stated translational and angular speed bounds are valid. Substituting a smaller radius about a different center without accounting for that center’s motion changes the problem.

If the geometry has an additional bounded scale factor $s\le 1+{ϵ}_s$ about the modeled pivot, a sufficient bound is $(1+{ϵ}_s)\hat{R}+{ϵ}_B+{ϵ}_c$, under the explicitly separated scale and residual-shape assumptions. With ${ϵ}_s=0.01$ in the example it becomes $0.510\mathrm{m}$. Unknown errors and repeated descriptions of the same geometric tolerance must not be combined as if they were independent extra effects.

A radius enlargement addresses the motion-rate bound. It does not by itself correct an inaccurate sampled distance between the nominal robot surface and an obstacle. That query still needs a suitable geometric allowance or a clearance certificate with bounded distance-query error. Likewise, hard enclosure tolerances are different from standard uncertainties; a root-sum-square of standard deviations is not automatically a guaranteed radius.

A proposed geometric check measures extreme points of the assembled robot, including attachments, relative to the same pivot used by the motion representation. Account for measurement error and verify coverage between sampled surface points using a geometric model or validated tolerance. Recompute the bound when the tool, pivot or assembly changes, and record the radius’s provenance alongside the trajectory certificate.