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This chapter develops an improved assignment-variable-based compositional semantics for head-raising analyses of restrictive relative clauses, and applies the account to certain types of pronominal anaphora. The speculative choice-function based analysis of names from Chapter 4 is extended to certain indefinites, relative words, and donkey pronouns. An analysis of donkey pronouns as copies of their linguistic antecedent is supported by crosslinguistic data. Nominal quantifiers are treated as introducing quantification over assignments. The proposed semantics for quantifiers helps capture linguistic shifting data in universal, existential, and asymmetric readings of donkey sentences. Additional composition rules or principles for interpreting reconstructed phrases aren’t required (e.g., Predicate Abstraction, Predicate Modification, Trace Conversion). The semantics is fully compositional. Critical challenges are discussed.
For acquiring a broad view in an unknown environment, we proposed a control strategy based on the Bézier curve for the snake robot raising its head. Then, an improved discretization method was developed to accommodate the backbone curves with more complex shapes. Besides, in order to determine the condition of using the improved discretization method, energy of framed space curve is introduced originally to estimate the shape complexity of the backbone curve. At last, based on degree elevation of the Bézier curve, an obstacle avoidance strategy of the head-raising motion was proposed and validated through simulation.
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